CN1959719A - System and method for evaluating relevance between persons - Google Patents
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Abstract
Embodiments herein properly determine relevance between persons. Embodiments herein provide a system for evaluating relevance between persons, including relevance detecting means for detecting directed relevance of a person as a target to another person based on a text in which evaluations or feelings of the other person by another person is expressed; storing means for storing the detected relevance; evaluating means for evaluating, with respect to a set of a first person and second person to be evaluated, relevance between the first person and the second person based on a plurality of relevances including the stored relevances and reaching the second person from the first person via at least one further person; and outputting means for outputting the relevance evaluated.
Description
Technical field
The present invention relates to be used to assess the system of person-to-person correlativity.More particularly, the present invention relates to be used for assessing the system of person-to-person correlativity according to textual description.
Background technology
In the marketing strategy of products ﹠ services, being familiar with relation (being sometimes referred to as interpersonal relation or interpersonal relationships net) and may becoming very important between the people.For example, when wishing that someone buys product or when service, another person that the people trusted recommends to buy described product or service is effective thus.But, be familiar with relation and remarkable, and will understand that the most effective result's possibility also is difficult when who obtains can producing when introducing from whose.
By convention, as the reference technology, the technology (referenced patent document 1) with the person-to-person correlativity of graphic presentation has been proposed.But, according to this technology, the influence that provides a plurality of individuals' of person-to-person related receptor name whether to describe with identical electronic data (for example, text).In addition, expression individual's node is connected to the expression individual's relevant with previous people node by the limit.To connect the figure that creates and be shown to the user by repeating these.
[patent file 1]
Japan uncensored patent disclosure (kokai) No.2005-108123
Summary of the invention
But the figure that is created by above-mentioned reference technique is the non-directed graph that comprises nonoriented edge.Therefore, this figure can not express individual unilaterally respect another person's situation or the situation that the one-sided ground level of individual is appreciated another person's individual character.Therefore, be difficult in practical application (as the marketing strategy utilization), use this technology.
In addition, even under the situation that two people describe in public text, the possibility that also exists this two people to be in competitive relation or to dislike mutually.In this case, will be familiar with concerning that being used for the market strategy may have the opposite effect.Like this, in the prior art, graph expression is familiar with relation as described in being difficult to utilize in practical application (as marketing strategy).
Therefore, target of the present invention provides a kind of system that can address the above problem, method and program.
In order to overcome the above problems, the invention provides a kind of system that is used to assess person-to-person correlativity, described system comprises:
Pick-up unit, described pick-up unit are used for the oriented correlativity to another person according to text detection target individual, have expressed evaluation or the emotion of another person to described individual in the described text;
Memory storage, described memory storage is used to store the correlativity of described detection;
Apparatus for evaluating, described apparatus for evaluating is used for first people and second people that will assess with respect to a group, assess described first people and the described second person-to-person correlativity according to a plurality of correlativitys of the correlativity that comprises described detection, and arrive described second people through another person at least from described first people; And
Output unit, described output unit is used to export the correlativity of described assessment.
Notion of the present invention is not to be enumerating of all essential feature of the present invention, but the sub-portfolio of its feature also can be accepted as the present invention.
According to the present invention, can suitably determine the correlativity that exists between the individual.
Description of drawings
Fig. 1 shows the configured in one piece of infosystem 10;
Fig. 2 shows the example of text database 20;
Fig. 3 shows the functional configuration of evaluating system 30;
Fig. 4 shows the example of the data structure of memory storage 310;
Fig. 5 shows the example of the process of the person-to-person correlativity of evaluating system 30 assessments;
Fig. 6 shows the example of the correlativity of evaluating system 30 assessments; And
Fig. 7 shows the example as the hardware configuration of the signal conditioning package 400 of evaluating system 30.
Embodiment
Below by embodiments of the invention the present invention has been described.The scope of embodiment described below and unrestricted claim, and be not whole combinations of the feature described among the embodiment all be that to be used to solve the device of problem of the present invention necessary all the time.
Fig. 1 shows the configured in one piece of information handling system 10.Information handling system 10 comprises text database 20 and evaluating system 30.Text database 20 has been stored a plurality of texts, has expressed evaluation or the emotion of target individual to another person in each text.The text can also be stored the relevant information of sharing with described another person with the fact or the described individual of described individual and the common action of another person of emotion.Evaluating system 30 is assessed oriented correlativity and/or undirected correlativity between described individual and another person according to being stored in text in the described text database 20.
Fig. 2 shows the instantiation of text database 20.Text database 20 comprises a plurality of texts, and for example, text 200-1 is to text 200-N.The text that is stored in the text database 20 can be the normal data that meets specific format, or such as the nonstandard numbers certificate of p.m.entry, Email etc.Show received text among Fig. 2 as an example.The salesperson of the company of fabricating is recorded as text 200-1 according to the information that predetermined format will obtain from his client.The president Yamaguchi that the example of Fig. 2 shows KojiYamamoto (president of XYZ electronics corporation) client by name and company ABC is that the visit of business circles' magazine is talked with regard to their hobby (golf).The example of Fig. 2 also shows this information gathering on July 21st, 2005.
As mentioned above, text 200-1 can comprise the expression to the fact of individual and the common action of another person, such as expressing " talk ".Text 200-1 can also comprise someone expression to another person's emotion, such as " intimate (relation good) " etc.Evaluating system 30 according to present embodiment is assessed person-to-person correlativity according to described expression.Therefore, evaluating system 30 also is intended to correctly assess oriented correlativity, such as the situation of individual and another person's mutual trust, and the individual situation of unilaterally respecting another person and not having to repay.In addition, evaluating system 30 also is intended to correctly assess the situation that should not be utilized, and another person is had the situation of negative emotion etc. such as the individual.
Fig. 3 shows the functional configuration of evaluating system 30.Evaluating system 30 comprises correlation detection device 300, memory storage 310, attribute pick-up unit 320, apparatus for evaluating 330 and output unit 340.Correlation detection device 300 detects oriented correlativity and/or the undirected correlativity of individual to another person according to the text that is stored in the text database 20.More particularly, correlation detection device 300 is from described text detection individual's name.Then, detect the individual of name for each, correlation detection device 300 detects the another person who occurs with last individual in one text.Then, correlation detection device 300 detects the expression of this correlativity of expression in finding the text of described name.
At first, this expression is evaluation or the emotion of target individual to another person.For example, the expression of emotion can be " liking ", " trust ", " respect ", " appreciation ", " gratitude " etc.In addition, the expression of evaluation not only can be the global judgement such as " being good at work " or " individual character is good ", can also relate to the evaluation of specifying information, such as " being familiar with science and technology ", " being familiar with the stock market " etc.In the case, correlation detection device 300 can detect the evaluation related with specific area.
When detecting the target individual to the expression of another person's evaluation or emotion, correlation detection device 300 is judged the oriented correlativity that exists from described individual to described another person.That is to say that for example, when detecting individual A and respect the expression of individual B, correlation detection device 300 is judged the oriented correlativity that exists from individual A to individual B.Because above-mentioned data show oriented correlativity, correlation detection device 300 can create wherein that the individual is expressed as node, and correlativity is expressed as the digraph on limit.Among Fig. 6 this example will be described.
In addition, correlation detection device 300 can detect the undirected correlativity between described individual and another person according to the text of true or described individual and another person's Sharing Information of wherein having described the common action of described individual and another person.That is to say that for example, when detecting the expression of individual A of expression and individual B talk, correlation detection device 300 determines that the undirected correlativity between individual A and the individual B exists.Correlativity is expressed as the non-directed graph on limit because the undirected correlativity of above-mentioned data presentation, correlation detection device 300 can create wherein that the individual is expressed as node.Can create described non-directed graph by nonoriented edge being added to above-mentioned digraph.
In addition, correlation detection device 300 can also detect the power of expression strength of correlation according to the frequency of expressing evaluation or emotion.More particularly, this means, estimate or during emotion when the frequent face of land in text database 20 reaches, and do not give expression to one's sentiment continually in text database 20 or the situation of emotion is compared, 300 assessments of correlation detection device are stronger according to the correlativity of described expression or described emotion.In addition, correlation detection device 300 can be assessed the power of the intensity of the described correlativity of expression the date when expressing described evaluation or emotion.More particularly, this means that when expressing described evaluation or described emotion recently, compare with the situation of expressing described evaluation or described emotion before for a long time, 300 assessments of correlation detection device are stronger according to the correlativity of described emotion.
Described memory storage 310 storages are with the correlativity that is detected by correlation detection device 300 and weigh relevant information, and described information is offered described apparatus for evaluating 330.In addition, memory storage 310 is stored individual's each property value and the correlativity between each other property value in advance.For example, Ge Ren attribute can be the tissue under the individual.In this case, described property value has shown the identification information such as organization name.That is, for example, memory storage 310 will be such as company ABC and the XYZ electronics corporation fact in competition, and the information stores that they have the fact and so on of business relations is a correlativity.In addition, memory storage 310 can join by the time correlation with the correlativity of property value and the described correlativity of assessment and stores described correlativity.
Described attribute pick-up unit 320 is stored in the attribute of describing in the text in the text database 20 for per two people detection.The correlativity that described apparatus for evaluating 330 detects according to correlation detection device 300 is assessed first people and the second person-to-person correlativity that will estimate.More particularly, apparatus for evaluating 330 is at first selected from described first people, through another person at least, arrives a plurality of correlativitys of described second people.Described a plurality of correlativity comprises by correlation detection device 300 and detects and be stored in correlativity in the memory storage 310.Apparatus for evaluating 330 is assessed described first people and the described second person-to-person correlativity according to the correlativity of described a plurality of selections.For example, when described correlativity represented that positive evaluation or emotion and described correlativity are shown digraph, apparatus for evaluating 330 can assessed described first people and the described second person-to-person correlativity on the contrary according to described a plurality of correlativitys on the path of described digraph.In addition, when detecting described correlativity temporary, apparatus for evaluating 330 can also be assessed described correlativity according to the power of described correlativity.In addition, apparatus for evaluating 330 can be according to being the attribute of everyone detection and the correlativity that the correlativity between these attributes is assessed described individual.
By way of parenthesis, the assessment objective of apparatus for evaluating 330 can be the correlativity between the tissue, rather than person-to-person correlativity described above.More particularly, correlation detection device 330 detects the oriented correlativity of destination organization to another tissue according to wherein having expressed tissue to the evaluation of another tissue and the text of emotion.For example, described text not only comprises statement that tissue sends, news report etc., but also comprises the commissarial comment etc. of this tissue when tissue is company.Apparatus for evaluating 330 is with respect to one group of first tissue that will estimate and second tissue then, arrive a plurality of correlativitys of described second tissue according to the correlativity that comprises detection and from described first tissue through another tissue at least, assess the correlativity of described first tissue and described second between organizing.Therefore, according to the evaluating system 30 of present embodiment not only can comprise the individual can also comprise such as the tissue of company etc. can in text, represent to estimate or the main body of emotion as assessment objective.
The correlativity of described output unit 340 output apparatus for evaluating 330 assessments.In addition, output unit 340 is carried out output according to described correlativity.For example, output unit 340 can be on the contrary along being output as sponsor with the individual from described first people to the path of described second people's oriented correlativity, and described sponsor can introduce described first people to described second people.Described path can comprise undirected correlativity.Therefore, use interpersonal relation effectively the supports sales activity be possible.That is, when the individual wishes that commodity or service be sold to individual A, by selecting individual B that individual A trusts as the sponsor, promotion activity successfully.
Fig. 4 shows the example of the data structure of memory storage 310.In addition, memory storage 310 is stored the correlativity between each described property value and each another property value in advance.For example, memory storage 310 storage 0.5 as and the company ABC that is first property value, and be the power of the relevant correlativity of the set of XYZ electronics corporation of second property value.If the friendship between this correlativity demonstration company is then thought between company ABC and the XYZ electronics corporation to have to a certain degree good friendship, because described power+0.5th, on the occasion of.In addition, memory storage 310 joins by the time correlation with the correlativity of property value and the described correlativity of assessment and stores described correlativity.For example, the example of Fig. 4 illustrates relevance evaluation between company ABC and the XYZ electronics corporation on April 25th, 2005.The described assessment date can be the date that is transfused to memory storage 310 about the information of described correlativity, or creates the date about the text of described correlativity.
Fig. 5 shows the example of the process of the person-to-person correlativity of evaluating system 30 assessments.Correlation detection device 300 obtains text (S500) from text database 20.Correlation detection device 300 detects individual name (S510) in the text of described acquisition.For each individual who detects individual name, correlation detection device 300 detects the another person who occurs with last individual in one text, and also detects the expression (S520) of the correlativity between expression two people.Then, correlation detection device 300 is by using these to express to detect the oriented and/or undirected correlativity from described individual to another person.The attribute (S530) of attribute pick-up unit 320 for comprising in the text of each individual detection of stored in text database 20.
With respect to one group of first people and second people that will estimate, apparatus for evaluating 330 is assessed described first people and the described second person-to-person correlativity (S540) according to the information that correlation detection device 300 detects.The example of the correlativity of assessment will be described with reference to figure 6.Fig. 6 shows the example of the correlativity of evaluating system 30 assessments.In Fig. 6, individual's node is represented to indicate in each rectangular area, and an end has the limit of arrow and only represents directed edge, and the opposite end all has the limit of arrow and represents nonoriented edge.
For example, at first, apparatus for evaluating 330 is selected to start to handle Abe and is arrived a plurality of correlativitys of Koji Yamamoto through another person at least.For example, apparatus for evaluating 330 is being that 0.2 positive correlation and power are 0.5 positive correlation from manager Abe through president Yamaguchi right to choose to the path of Koji Yamamoto.On the other hand, apparatus for evaluating 330 is being that 0.8 positive correlation and power are 0.5 negative correlation from manager Abe through SenichiHoshino right to choose to the path of Koji Yamamoto.The correlativity of these selections comprises the correlativity that correlation detection device 300 detects.That is to say that for example, the oriented correlativity from Koji Yamamoto to president Yamaguchi can be detected as the result who detects text, described text comprises that Koji Yamamoto is to the positive emotion of president Yamaguchi or the expression of evaluation.
Then, apparatus for evaluating 330 is assessed the correlativity of handling between Abe and the KojiYamamoto according to the correlativity of these selections.More particularly, apparatus for evaluating 330 can calculate the total value of these correlativitys or mean value as the relevance values between manager Abe and the Koji Yamamoto.That is, the path that apparatus for evaluating 330 can calculate through the correlativity of president Yamaguchi is 0.7 (calculating by 0.5+0.2), and the path of the correlativity of calculating process Senichi Hoshino is 0.3 (calculating by 0.8+ (0.5)).According to the correlativity of being calculated, for marketing strategy, manager Abe preferably should get in touch Koji Yamamoto through president Yamaguchi, rather than through SenichiHoshino.
In addition, apparatus for evaluating 330 can select to comprise a plurality of correlativitys of the correlativity between the property value the path of the attribute that begins from manager Abe to pass through its property value and arrive KojiYamamoto.For example, apparatus for evaluating 330 is selected from the correlativity path of GDG communication (it is the affiliated group of manager Abe) beginning and arrival company ABC (it is the affiliated group of Koji Yamamoto).That is, it is 0.4 positive correlation path that apparatus for evaluating 330 is selected the power of correlativity between GDG communications and the XYZ electronics corporation, and power is 1.0 negative correlation path between XYZ electronics corporation and the company ABC.Apparatus for evaluating 330 can calculate the assessment of the total value (promptly-0.6) of described power as the correlativity between manager Abe and the KojiYamamoto then.Thereby, compare with the situation that first people and the weights of the second person-to-person correlativity are less, when the power of correlativity was big, apparatus for evaluating 330 can be with the relevance evaluation De Genggao between described first people and described second people's the property value.
In said process, can calculate the power of a plurality of different correlativitys for one group of ordinary individual.For example, between Koji Yamamoto and the manager Abe through the power of the correlativity of president Yamaguchi, according to being evaluated as of personal relevance+0.7, and be evaluated as-0.6 according to attached correlativity.In this case, for example, the smaller value that apparatus for evaluating 330 can right to choose is as the assessment result of described correlativity.Therefore, by using the information relevant modestly, can eliminate the risk of marketing activity failure with described correlativity.
In addition, when the use attribute value is assessed correlativity, wish to use the time and the characteristic of described assessment.For example, compare with evaluation time situation early, during correlativity between the attribute of assessing first people recently and second personal attribute, apparatus for evaluating 330 can be with described first people and the described second person-to-person relevance evaluation De Genggao.Can obtain the time of assessment from the information storing memory storage shown in Figure 4 310.In addition, when the organizing of their subordinates of described attribute display, compare with organizing less situation, if tissue is larger, then apparatus for evaluating 330 can be assessed De Genggao.Can obtain the scale of described tissue from the link number between the property value of described tissue and expression individual's node.
According to above-described example, not only can also calculate the power of the correlativity between a property value and another property value according to the characteristic of each attribute according to text.
(1) shows the sponsor
More particularly, at first, 330 assessments of hypothesis evaluation device show that the front from described individual to another person is estimated or the oriented correlativity of emotion.For example, in the example of Fig. 6, detecting KojiYamamoto has positive the evaluation or emotion to president Yamaguchi.Then, with regard to from first people (manager Abe) to the correlativity of second people (Koji Yamamoto), apparatus for evaluating 330 advances along oriented correlativity or along undirected correlativity on the contrary, and selects the individual on the path that arrives.Then, selected sponsor that artificially described first people can be introduced to described second people of apparatus for evaluating 330 assessments.That is, in this example, Senichi Hoshino and president Yamaguchi are evaluated as the sponsor.Output unit 340 these sponsors' of output expression information.Preferably, output unit 340 is exported described sponsor with the descending of the power in the path of described sponsor's appearance.For example, output unit 340 can be that 0.3 Senichi Hoshino shows that more highlightedly the overall relevancy value is 0.7 president Yamaguchi than overall relevancy value, or 340 of output units show president Yamaguchi.
(2) demonstration group
Apparatus for evaluating 330 can detect the group that has a plurality of individual's compositions that are closely connected each other, and output unit 340 can be shown to the user with detected group.More particularly, be among the figure on limit in that each artificial node and each correlativity are set, the element that is closely connected by detection and regard the power of correlativity the power of limit as, apparatus for evaluating 330 can be group with having a plurality of people detection that are closely connected each other.In this case, the power of the undirected correlativity between individual and another person is invested the power of the oriented correlativity from described individual to another person, and the power of the oriented correlativity from another person to described individual.This digraph that allows to use from having power detects the prior art of element that is closely connected, and can correctly detect a plurality of individuals that have being closely related property each other.
(3) show crucial individual
When described correlativity represents that certain individual estimates another person's front or during emotion, the value that apparatus for evaluating 330 calculates based on the power of the correlativity from described another person to described individual, for example, total value or mean value.Then, if based on to the value of total value of all correlativitys of individual greater than predetermined reference value, then described people of apparatus for evaluating 330 assessments be crucial individual among the personal relevance.Thereby, the individual that trusts and speak highly of of institute that can correctly estimate many people.
(4) promote the sale of commodity etc.
If can access, then can see, by being effective in conjunction with using described historical information to the sale that promotes commodity etc. historical information and described person-to-person correlativity about the information of commodity purchasing history attribute information as a certain individual.More particularly, other people's information during commodity that a certain individual buys in detected group in the output unit 340 output examples (2) or service should recommendedly be given same group.
In addition, also determine described group in can recommendedly giving same group other people of the commodity of the identical type bought of a certain individual or service.More particularly, for example, the commodity of identical type or service are associated with particular commodity or service, and are stored in memory storage 310 or the similar device.Then, output unit 340 is according to the information that is stored in memory storage 310 or the similar device, select with described group in a certain individual commodity or the service bought be the commodity of identical type or service.Then, other people information during output unit 340 described commodity of output or service should recommendedly be given described group.Thereby by person-to-person correlativity is used for marketing activity, the people that can find never to be considered potential customers is sales targets likely.
Fig. 7 shows the example as the hardware configuration of the signal conditioning package 400 of evaluating system 30.Signal conditioning package 400 comprises: have the CPU periphery by console controller 1082 interconnective CPU 1000, RAM 1020 and graphics controller 1075; Have the communication interface 1030, the hard disk drive 1040 that are connected to console controller 1082 by i/o controller 1084, and the I/O part of CD-ROM drive 1060; And have BIOS 1010, the floppy disk 1050 that is connected to i/o controller 1084, and traditional input-output part of I/O chip 1070.
Console controller 1082 is connected to RAM 1020 graphics controller 1075 and the CPU 1000 that visits RAM 1020 with high transmission rates.CPU 1000 bases are stored in the program run among BIOS 1010 and the RAM 1020, and control each part.Graphics controller 1075 obtains the view data that CPU 1000 grades generate on the frame buffer that possesses on the RAM1020, and shows described view data on display device 1080.Alternatively, graphics controller 1075 can comprise the frame buffer of storage by the graph data of generation such as CPU 1000 grades.
It is communication interface 1030, the hard disk drive 1040 of relative high speed input/output device that i/o controller 1084 is connected to console controller 1082, and CD-ROM drive 1060.Communication interface 1030 is communicated by letter with external device (ED) by network.Program and data that hard disk drive 1040 canned data treating apparatus 400 use.CD-ROM drive 1060 is read routine or data from CD-ROM 1095, and provide it to RAM 1020 or hard disk drive 1040.
In addition, i/o controller 1084 is connected to such as BIOS 1010, floppy disk 1050, and the input/output device of the relative low speed of I/O chip 1070 etc.The boot (program that depends on the hardware of signal conditioning package 400) that BIOS was carried out by CPU 1000 between 400 starting periods of 1010 canned data treating apparatus etc.Floppy disk 1050 is from diskette 1 090 read routine or data, and provides it to RAM 1020 or hard disk drive 1040 by I/O chip 1070.I/O chip 1070 is by diskette 1 090, or the interface such as parallel port, serial port, keyboard port, mouse port connects various input/output devices.
The procedure stores that is offered signal conditioning package 400 by the user is in such as recording mediums such as diskette 1 090, CD-ROM1095, IC-cards.From described recording medium, read described program by I/O chip 1070 and/or i/o controller 1084, it is installed on the signal conditioning package 400 so that carry out.The operation of the signal conditioning package 400 that is caused by described program is identical with the operation of the evaluating system of describing in Fig. 1 to Fig. 6 30, has therefore omitted described explanation.
Said procedure can be stored in the exterior storage medium.About described storage medium, not only can use diskette 1 090, CD-ROM 1095, can also use such as optical record mediums such as DVD, PD, and such as semiconductor memories such as tape-shaped medium's, IC-cards.In addition, for program being offered signal conditioning package 400 by network, can use provide in the server system that is connected to private wire network or internet such as the memory storage of hard disk or RAM as recording medium.
Owing to use the foregoing description that the present invention has been described, should point out that herein technical scope of the present invention is not limited to above embodiment.For a person skilled in the art, can think that various modifications and improvement can be included among the above embodiment.In addition, according to the scope of claim, also think to these changes of embodiments of the invention and improve to be included in the technical scope of the present invention.
Claims (20)
1. system that is used to assess person-to-person correlativity, described system comprises:
Correlation detection device, described correlation detection device are used for detecting the oriented correlativity of target individual to another person according to text, have expressed evaluation or the emotion of another person to described individual in the described text;
Memory storage, described memory storage is used to store the correlativity of described detection;
Apparatus for evaluating, described apparatus for evaluating is used for first people and second people that will assess with respect to a group, according to comprising the correlativity that is stored in the described memory storage and assessing described first people and the described second person-to-person correlativity from described first people through a plurality of correlativitys that another person at least arrives described second people; And
Output unit, described output unit is used to export the correlativity of described assessment.
2. according to the system of claim 1, wherein
Described correlation detection device is also according to the frequency of expressing described evaluation or emotion in described text, and/or the time of expressing described evaluation or emotion in described text is detected the power of the intensity of the described correlativity of expression; And
Described apparatus for evaluating is also assessed described first people and the described second person-to-person correlativity according to the power of described detection.
3. according to the system of claim 2, wherein
If expressed described evaluation or described emotion, described correlation detection device is positive power with the intensity detection of described correlativity, if and expressed described evaluation or described emotion on the contrary with above-mentioned evaluation or emotion, then described correlation detection device is negative power with the intensity detection of described correlativity.
4. according to the system of claim 2, wherein
Described correlation detection device also according to the text of true or described individual and the described another person's Sharing Information of wherein having expressed individual and the common action of another person, detects the undirected correlativity between described individual and described another person;
Described apparatus for evaluating is also assessed correlativity between described individual and described another person according to the undirected correlativity of described detection.
5. according to the system of claim 4, wherein
Described oriented correlativity shown that front from individual to another person is estimated or the situation of emotion under,
Described apparatus for evaluating will be the personal assessment on from described first people to the path of described second people's described oriented correlativity on the contrary for introducing described first people to described second people's sponsor.
6. according to the system of claim 5, wherein
Described output unit also in the path that described sponsor exists the descending with the power of described correlativity export described sponsor.
7. according to the system of claim 4, wherein
It is the assembly that is closely connected of the digraph on node and the described correlativity limit that is set to weighting that described apparatus for evaluating also detects corresponding personal settings, and by further the power of the undirected correlativity between individual and another person being invested the power of oriented correlativity from described individual to described another person, and the power of the oriented correlativity from another person to described individual, be the group that comprises a plurality of individuals with being included in that a group node in the assembly that is closely connected of described detection detects.
8. according to the system of claim 4, wherein
Described correlativity shown that front from described individual to described another person is estimated or the situation of emotion under,
If greater than predetermined reference value, then described apparatus for evaluating also is the crucial individual in the interpersonal relation with described personal assessment based on the value of the total amount of the power of the described correlativity from described another person to described individual.
9. according to the system of claim 4, wherein
The described signal conditioning package of described system operation further is used to the attribute pick-up unit of corresponding the people detection attribute of expressing in the described text;
Each attribute in a plurality of attributes of described memory device stores and the correlativity between each attribute in other attributes, and
Described oriented correlativity shown that front from described individual to described another person is estimated or the situation of emotion under,
Compare with the situation that described first people and the power of the described second person-to-person correlativity are less, when the power of the correlativity between described first people's property value and described second people's the property value was big, the power that described apparatus for evaluating will described first people and the described second person-to-person correlativity was assessed De Genggao.
10. according to the system of claim 9, wherein
Time when described memory storage is assessed described correlativity by association is stored the correlativity of described property value, and
Compare with evaluation time situation early, under the situation of the correlativity between the attribute of assessing described first people recently and described second people's the attribute, described apparatus for evaluating is with the power assessment De Genggao of described first people and the described second person-to-person correlativity.
11. according to the system of claim 10, wherein
Under the situation of described attribute representation affiliated group, compare with the situation that described affiliated group is less, when described affiliated group was big, described apparatus for evaluating will be based on the power assessment De Genggao of the described correlativity of described individual's attribute and described another person's attribute.
12. according to the system of claim 10, wherein
It is the assembly that is closely connected that node and described correlativity are set to the figure on limit that described apparatus for evaluating detects corresponding personal settings, and a group node that will be included in the assembly that is closely connected of described detection detects to comprising a plurality of individuals' group; And
Under the situation of individual article of buying of described attribute representation or service,
The information of another person during article that the individual in described group is bought in the output of described output unit or service recommendation are given same group.
13. according to the system of claim 12, wherein
The article of the same kind of described memory device stores and each described article or described service association or service; And
The information of another person during article that the described individual in described group is bought in the output of described output unit or service recommendation are given described group.
14. a method that is used to assess person-to-person correlativity, described method comprises:
Detect the step of target individual according to text, expressed evaluation or the emotion of another person in the described text described individual to another person's oriented correlativity, and
With respect to one group of first people and second people that will assess, according to the correlativity that comprises described detection with assess the step of described first people and the described second person-to-person correlativity from a plurality of correlativitys that described first people arrives described second people through another person at least.
15. according to the method for claim 14, wherein
In the step of the described correlativity of described detection, also according to the frequency of in described text, expressing described evaluation or emotion, and/or the time of in described text, expressing described evaluation or emotion detect the power of the intensity of the described correlativity of expression; And
In described appraisal procedure, also assess described first people and the described second person-to-person correlativity according to the power of described detection.
16. according to the method for claim 15, wherein
In the step of the described correlativity of described detection, under the situation of having expressed described evaluation or described emotion, with the intensity detection of described correlativity is positive power, and expressing on the contrary under the situation of described evaluation or described emotion with above-mentioned evaluation or emotion, with the power of intensity detection for bearing of described correlativity.
17. according to the method for claim 15, wherein
In the step of the described correlativity of described detection, also, detect the undirected correlativity between described individual and described another person according to the text of true or described individual and the described another person's Sharing Information of wherein having expressed individual and the common action of another person;
In the step of the described correlativity of described assessment, also assess correlativity between described individual and described another person according to the undirected correlativity of described detection.
18. according to the method for claim 17, wherein
Described oriented correlativity shown that front from individual to another person is estimated or the situation of emotion under,
In the step of the described correlativity of described assessment, will be the personal assessment on from described first people to the path of described second people's described oriented correlativity on the contrary for described first people being introduced to described second people's sponsor.
19. a system that is used to assess person-to-person correlativity, described system comprises:
Correlation detection device, described correlation detection device are used for detecting the oriented correlativity of target individual to another person according to text, have expressed evaluation or the emotion of described individual to another person in the described text; And
Apparatus for evaluating, described apparatus for evaluating is used for first people and second people that will assess with respect to a group, assesses described first people and the described second person-to-person correlativity according to the correlativity that comprises described detection with from described first people through a plurality of correlativitys that another person at least arrives described second people.
20. a system that is used to assess the correlativity between the tissue, described system comprises:
Correlation detection device, described correlation detection device are used for detecting the correlativity of destination organization to another tissue according to text, have expressed evaluation or the emotion of described tissue to another tissue in the described text; And
Apparatus for evaluating, described apparatus for evaluating is used for respect to one group of first tissue that will assess and second tissue, according to the correlativity that comprises described detection with assess described first from a plurality of correlativitys that described first tissue arrives described second tissue through another tissue at least and organize and described second the correlativity between organizing.
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| JP2005318431A JP2007128163A (en) | 2005-11-01 | 2005-11-01 | System for evaluating relevancy between persons |
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| CN107944911A (en) * | 2017-11-18 | 2018-04-20 | 电子科技大学 | A kind of recommendation method of the commending system based on text analyzing |
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| JP5078674B2 (en) * | 2008-02-29 | 2012-11-21 | インターナショナル・ビジネス・マシーンズ・コーポレーション | Analysis system, information processing apparatus, activity analysis method, and program |
| WO2010065108A1 (en) * | 2008-12-01 | 2010-06-10 | Topsy Labs, Inc | Estimating influence |
| JP5578600B2 (en) * | 2009-04-01 | 2014-08-27 | 日本電気株式会社 | Human network database system |
| US8874727B2 (en) | 2010-05-31 | 2014-10-28 | The Nielsen Company (Us), Llc | Methods, apparatus, and articles of manufacture to rank users in an online social network |
| JP5484284B2 (en) * | 2010-09-30 | 2014-05-07 | 株式会社日立ソリューションズ | Interpersonal relationship facilitation support system |
| GB2488373A (en) * | 2011-02-28 | 2012-08-29 | Hsbc Holdings Plc | Database ranks results based on reputational scores |
| JP2013246802A (en) * | 2012-05-29 | 2013-12-09 | T C Factory Co Ltd | Information processing system and information processing method |
| JP6216600B2 (en) * | 2013-10-08 | 2017-10-18 | 株式会社日立製作所 | Introducer candidate extraction system |
| MX366777B (en) * | 2014-01-27 | 2019-07-24 | Nokia Technologies Oy | Method and apparatus for social relation analysis and management. |
| JP2017204054A (en) * | 2016-05-10 | 2017-11-16 | コニカミノルタ株式会社 | Compatibility calculation device, compatibility calculation method, and computer program |
| JP6870238B2 (en) * | 2016-08-24 | 2021-05-12 | コニカミノルタ株式会社 | Evaluation system, evaluation method, evaluation device, evaluation program, and recording medium |
| JP6863565B2 (en) * | 2016-09-27 | 2021-04-21 | Ｎｅｃソリューションイノベータ株式会社 | Tissue analyzer, tissue analysis method, and program |
| JP7404648B2 (en) | 2019-04-25 | 2023-12-26 | 富士通株式会社 | Therapeutic drug presentation method, therapeutic drug presentation device, and therapeutic drug presentation program |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107944911A (en) * | 2017-11-18 | 2018-04-20 | 电子科技大学 | A kind of recommendation method of the commending system based on text analyzing |
| CN107944911B (en) * | 2017-11-18 | 2021-12-03 | 电子科技大学 | Recommendation method of recommendation system based on text analysis |
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