CN1542605A - Computer program calculus method based on network capable of automatically picking, comparing and updating selling price of products on network server - Google Patents
Computer program calculus method based on network capable of automatically picking, comparing and updating selling price of products on network server Download PDFInfo
- Publication number
- CN1542605A CN1542605A CNA031242499A CN03124249A CN1542605A CN 1542605 A CN1542605 A CN 1542605A CN A031242499 A CNA031242499 A CN A031242499A CN 03124249 A CN03124249 A CN 03124249A CN 1542605 A CN1542605 A CN 1542605A
- Authority
- CN
- China
- Prior art keywords
- price
- computer program
- webserver
- comparison
- product
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004590 computer program Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title abstract description 13
- 230000002860 competitive effect Effects 0.000 claims abstract description 10
- 239000000047 product Substances 0.000 claims description 93
- 238000001914 filtration Methods 0.000 claims description 4
- 230000000692 anti-sense effect Effects 0.000 claims description 3
- 239000006227 byproduct Substances 0.000 claims 1
- 238000004422 calculation algorithm Methods 0.000 abstract description 4
- 230000001105 regulatory effect Effects 0.000 abstract 1
- 230000006870 function Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 2
- 230000000052 comparative effect Effects 0.000 description 1
- 230000002354 daily effect Effects 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000009977 dual effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 239000012467 final product Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000010845 search algorithm Methods 0.000 description 1
- 230000002123 temporal effect Effects 0.000 description 1
Images
Landscapes
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The computer program method for automatically picking up, comparing and updating product price in network server based on network includes searching web pages and picking up relevant product prices by using key word as basic rule set; comparing the selected items in different algorithms and classifying the data according to brands and prices before comparing with one set of known products; regulating the prices of the known products by means of built-in regulations and determining the product prices by the market competitors to make the prices reach the most competitive ranking, say in No. 1 or 2, and disclosing the new price list in the network server automatically to replace old one. The whole process is automatic.
Description
Technical field
The present invention relates to a kind of with the network be the basis can automatic pick-up, the computer program calculation method of different product price on comparison and the renewal webserver, and then with search on the webserver, filter, relatively, adjust and upgrade relevant multinomial manual operation program such as different product price and artificial interface in addition robotization and computerize.
Background technology
Carry out on world-wide web in the world of ecommerce, many websites all provide on the line shop allow seller's display of products, so that the buyer can be done shopping on line.The most famous all types of price comparison website, for example: PRICEWATCH, EBAY, BIZRATE, DEALTIME, CNET, PRICEGRABBER and YAHOO etc.The seller can open an account on these websites, and displays thousands of kinds of products with for sale.The listed association attributes of every product comprises: brand name, the description of product and price.They are unlike traditional shop, and the shop can supply buyer's free choice of goods in 24 hours round-the-clockly on the line, and did not have entity and temporal restriction.So highly competitive.
In order to keep competitiveness of product, the seller must know and understand present market situation and adjust the product price, product can be competed at all have maximum attractive force in the shop.In order to reach this target, the seller at first must browse many webpages, to understand the rival for the listed price of like products, second, the seller must compare its same product and rival's price, the 3rd, the seller must adjust its price according to comparative result, more adjusted price is pasted shop on the loop line.Just think and to carry out above-mentioned operation to hundreds of products, need how many manpowers just can finish, and wherein also artificial careless mistake may occur.General flow during as shown in Figure 1 manually-operated.
Summary of the invention
The invention provides a kind of is basis energy automatic pick-up with the network, compare and upgrade the computer program calculation method of the product price on the webserver, utilization is based rule collection (ruleset) with the keyword, search webpage and the relevant product price of acquisition, it comprises many algorithms, correctly to select required project and to compare, these data will be classified according to brand and price, compare with one group of known product again, afterwards the price of known product is adjusted by one group of built-in rule, rival by market decides price to same product, and make their price can reach the most competitive rank, for example reach first or second place etc. in the product at the same level, new price will make product have suitable competitive power on the website, new price inventory will be posted on the webserver automatically, to replace old list price, whole flow process is robotization all, need only the scheduler that program is imported computer operating system, allow program regularly carry out again and get final product according to specified date and time.
Of the present invention is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, may further comprise the steps:
From the webserver, carry out the like products search with keyword and Pricedata automatically, obtaining the price of existing market like products, and just do ordering according to price and list;
According to the built-in rule of computer program, price and vendor products price that the existing market like products is obtained compare, and adjust the vendor products price automatically, and adjusted automatic the renewal on Website server according to present market trend to the most competitive price.
The present invention is described in detail with instantiation below in conjunction with accompanying drawing.
Description of drawings
Fig. 1 is traditional manually-operated general flow;
Fig. 2 is the enforcement illustration that the present invention automatically performs with computer program.
Embodiment
In order to quicken to carry out this flow process tediously long and consuming time, and avoid possible artificial careless mistake, can utilize with the network be the basis can automatic pick-up, the computer program edit methods of different product price on comparison and the renewal webserver, with the robotization of five manual operation steps to fulfil assignment (as shown in Figure 2).This cover program has adopted keyword and Pricedata, and the algorithm that utilizes a few cover projects to search and compare, with automatic search for networks server, the data of collecting will be classified and be compared with data in the database, list price in the database will be adjusted according to present market trend afterwards, pastes back on the webserver again again.
The detailed outline of database comprises Column Properties down, lists in the form, that is: bullets, keyword and filtering code.Three attribute specifications are as follows:
(1) bullets: the dash number of manufacturer or manufacturer, for example: INC766FC, CPC-0033.
(2) keyword: be used in the webserver, searching the required entries purpose words.Can seek the words (AND) of whole inputs during search in logic, for example: " IBM PRO 1200 * 2400 USB ", " PC133REGISTER ECC 512MB ".And the present invention will comprise the program of a keyword generator, this program can be surfed the Net and be searched each Related product automatically, as the various relevant product property explanation of MEMORY, CPU, HARDDRIVE, MOTHER BOARD, NOTEBOOK, PC, OFFICE SUPPLY or the like words, and deposit them in Computer Database disaggregatedly, this database also can be via artificial modification or increase, to supply some special requirement, so can from then on obtain automatically in the database for its keyword speech of each product (for example a certain INTEL CPU).
(3) filtering code: some project can comprise the keyword of pairing in the description of product, but is not the project that program will be searched.For example, when a certain project has comprised " PC133 REGISTER ECC256MB 512MB 1.0GB ... " in the description of product words, the program of then using keyword " PC133 REGISTER ECC 512MB " to search will be chosen this project.But because we are as long as search the project of 512MB, so this project can be filtered and delete.When product has specific function, as: W/TVOUT (the TVOUT function is arranged), W/O TVOUT (no TVOUT function) etc. as long as comprise the TVOUT words in the keyword, then are with or without " TVOUT " function and can be selected.This project must be filtered, if but the search algorithm employing does not comprise logic (NOT), this project will be deleted, when searching in addition " or " logic (OR) also will be included in this invention program, for example " 7200RPM ∥ 8400RPM " will search in the project that 7200RPM or 8400RPM occur.In addition, therefore some rival also can set a code to filter specific company because of it is low especially but do not need to carry out the rate of exchange with means in violation of rules and regulations.
These projects must as far as possible correctly be chosen from the webserver, guaranteeing carrying out the rate of exchange with suitable price, and most economical and the most competitive price are posted on the server.In order to carry out this operation, computer program will adopt following keyword pairing algorithm:
(1) each tame manufacturer used words in the description of product has difference slightly.For example: " ultra-ata148 ", " ultra*ata148 ", " ultra ata148 " and " ultra/ata148 " all may be used for illustrating the identical characteristics of a certain project.So method of the present invention uses wild symbol "/" that two subordinate words are combined in the keyword.As above routine, keyword " ultra/ata148 " also can match with other three explanations.
(2) manufacturer also may use following term, and the antisense of a certain characteristic is described, for example: " non-trilight ", " no-trilight ", " not-trilight " are to describe identical characteristic with " without-trilight ".So method of the present invention is used " non " wild symbol as antisense.That is to say that keyword " non-**** " will match manufacturer employed in the description of product " non-***** ", " no-***** ", " not-***** " and " without-***** ".
(3) when describing some product performance, the usage that some is specific, for example: " 10K RPM " expression " 10000RPM ", " 15K MHZ " expression " 15000MHZ ", and " 256M " expression " 256MB ", " 20.0G " then represents " 20.0GB ".Therefore method of the present invention will reach " 256M " and " 256MB " to " 10K " and " 10000 " when searching ... Deng, be considered as identical keyword.
Item selected will comprise all keywords in its other description of product.But wherein some project may comprise the non-characteristic that will search, therefore must be filtered.For example, being illustrated as of a certain product [... 32bit and 64bit dual interface ... " if, comprise " 32bit " in the keyword set, and desired adapter has only the single face of 32bit, then this project will be selected.The description of product of some generic brand may for " ... IBM compatible 500MHZ ... " if, comprise " IBM " in the keyword set, then this project will be selected.The filter logic of the inventive method is used in cover on these projects, and filters out all undesired projects.
Listed price on various relatively websites can be divided into two partly.Have a class website only need list product price, these websites comprise YAHOO, EBAY, PRICESCAN etc.Another kind of website is except listing product price, also need list freight charges and state tax, this expense is added on the product valency becomes final price, be listed in by the product price, freight charges are a variable with state tax because of the buyer institute place of residence is different, so the product final price is also easy because of the people, this type of website comprises DEALTIME, BIZRATE, PRICEGRABBER, PRICEWATCH etc.
Cause product final price rank and price rank own inconsistent in order to handle because of freight charges and state tax.This program except the own price of each like product relatively, also more last simultaneously price, if it also is listed first project on the website, freight charges can be turned down or freely, to increase competitive power.In order to make the buyer exempt to pay state tax, when the buyer placed an order purchase, this program can be inspected its address and decision automatically in addition, and by branch office's shipment in Honshu or outer state, so the buyer can exempt to pay state tax.More than be the situation in America, other inferior state, Europe etc. can be analogized according to actual conditions and developed the automatic marketing procedure of similar computing machine.
At last, when program obtained the price of like products and arranges from low to high according to price from present market after, program will be according to built-in rule, and the seller's price is adjusted into the most competitive price.This cover rule is considered many factors, comprising: the number of entry in market, minimum and inferior low price, the seller's cost, shipment and shipment cost and profit.Program will be adjusted to optimal price to price, and post up on the webserver automatically.The price of extraordinary item will be adjusted according to following standard:
(4) seller's base price is exactly gross profit and shipping charges and the premium of insurance that cost is added special ratios (as 8%).This base price will compare with the lowest price on the market, if the seller's price is lower than the market lowest price, just represents that the seller is low with price Ding Detai.Therefore program can be heightened price according to following formula:
Final price=lowest price-parameter 1
Parameter 1 wherein is set at (lowest price multiply by a little coefficient) usually, for example: 0.0025, if price is lower than specific reference value, then be fixing numeral.Its result allows the seller's the price can be lower than existing market lowest price.If difference is less than 1 fen, then be rounded to 1 fen.When price was heightened, this program also can be set a rational top gain, and for example 75%, profit like product maximum average price and deciding on reference market, thus the highest this price that also can not surpass of final price, in order to avoid influence sales volume.Sometimes have how tame manufacturer and sell product with lowest price simultaneously, then program can be considered these manufacturers individually.
(5), just represent that the seller may thereby need downgrade price with other manufacturer's competition if the seller's price is higher than the market lowest price.Program of the present invention will downgrade price according to rule decided at the higher level but not officially announced, as following rule:
If seller's price-lowest price＜parameter 2
Wherein parameter 2 is default constant, for example 10
And (seller's price-lowest price)/lowest price＜parameter 3
Wherein parameter 3 is little marks, for example 0.0025
Then last price=lowest price-parameter 4
Wherein parameter 4 multiply by a little coefficient for lowest price, and for example 0.00005
Above-mentioned formula may be adjusted or changes according to the price mechanism in market on the category of product and the On-line Product.
(6) if the seller's price can't satisfy above-mentioned two conditions, with regard to the selling at exorbitant prices of representing this product and can't with manufacturer's competition on other line.Program may be deleted this product and select another new product substitute from selling inventory, perhaps this product markup method, for example: COST * 1.03.Though perhaps the price of product is too high sometimes, the seller may be because marketing strategy (for example in order to strive for more clients and to increase the sales volume etc. of this product and other products) and be ready to sell this commodity with losing slightly.Program can be selected these products according to the market demand, according to circumstances adjusts price again.
(7) same flow process may be carried out several thousand times every day, and program is understood the rank list of every product of automatic assembly, and list is printed for daily reference.Program can be selected new project according to the present market demand from list, if find that on the market a lot of projects being arranged all is identical product, just represent that this project is very welcome, and this moment, program will be chosen these projects earlier.Similarly, the price standard also can be adjusted easily and make the seller's price drop on the second or the 3rd at a low price position, as long as in the formula of above-mentioned (5) bar, the value of (lowest price) is substituted by (second at a low price) or (the 3rd at a low price), then the new price of this purpose will drop on the rank position of being desired automatically.
(8) a lot of e-commerce websites all can be listed in product on the price comparison website or on the Search engine, and the hyperlink of (buying on the line) is arranged, and are linked to e-commerce website, so that finish transaction.In order to allow prices competitive, just be necessary for different price comparison websites and adjust price.This moment, e-commerce website must be able to be supported the structure of multiple price and multiple freight charges, and multiple price support meeting confirms that earlier the user is connected into from that price comparison website, shows suitable price according to this specific website again.Consistent with price on the price comparison website in order to ensure the price that shows on the e-commerce website, when price was adjusted in the price comparison website, the price on the e-commerce website just must and then be adjusted and be upgraded at any time.See through computer program with regard to automatically updated price, allow price and the relatively price synchronization of website, multiple freight charges also use the same method and adjust.
(9) some relatively the website is unfinished prevents that a certain computer program is linked to its website for a long time and uses its computer resource, he can detect on its website and connect situation and cut off some canned program with the external world, if the online time that exceeds its permission of this program, so the present invention has adopted the mode of connection of a uniqueness, if promptly this program was compared the website cut-out before not finishing analysis, it automatically RECONNECT to website relatively, and, need not from the beginning begin again from the analysis of data cut-off part continuation data collection.Basic design is to use MULTI-THREAD CONTROL, by a PARENT THREAD MONITORS THE CHILD THREAD, cuts off if CHILD THREAD is compared the website, and PARENT THREAD can produce a CHILD THREAD again.This CHILD THREAD can learn from LOG FILE and be cut off, and continues from here again, until all data processing finish, and PARENT THREAD EXIT more then.
Claims (15)
1, a kind of is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, may further comprise the steps:
From the webserver, carry out the like products search with keyword and Pricedata automatically, obtaining the price of existing market like products, and just do ordering according to price and list;
According to the built-in rule of computer program, price and vendor products price that the existing market like products is obtained compare, and adjust the vendor products price automatically, and adjusted automatic the renewal on Website server according to present market trend to the most competitive price.
2, as claimed in claim 1 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, and wherein keyword comparison pattern is adopted with the antisense and the specific usage of the identical characteristics of a certain project of product, a certain characteristic and made filter logic with Related product price on the acquisition webserver.
3, according to claim 1 with the network be the basis can automatic pick-up, the computer program calculation method of different product price on comparison and the renewal webserver, wherein Pricedata comprises attributes such as bullets, keyword and filtering code and lists in a form.
4, as claimed in claim 2 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, and wherein the bullets of Pricedata refers to the dash number of manufacturer or manufacturer.
5, as claimed in claim 2 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, wherein the keyword of Pricedata means and is used for searching the required entries purpose words in the webserver, can seek the words of whole inputs during search in logic.
6, as claimed in claim 2 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, wherein the filtering code of Pricedata means that some project can comprise the keyword of pairing in the description of product, but is not the project that program will be searched.
7, as claimed in claim 1 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, and wherein the number of entry with market is adopted by product price comparison pattern system, minimum and inferior low price, seller's cost, shipment and shipment cost and profit are considered.
8, as claimed in claim 1 with the network is the basis can automatic pick-up, the computer program calculation method of different product price on comparison and the renewal webserver, wherein the comparison of product price will be according to the adjustment of comparing of the seller's base price, standard that seller's price is higher than the market lowest price for the price of extraordinary item.
9, as claimed in claim 8 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, wherein the seller's base price refers to that cost adds the gross profit of special ratios, and shipping charges and premium of insurance, this base price will compare with the lowest price on the market.
10, as claimed in claim 9 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, wherein the seller's base price is lower than the market lowest price, computer program can be heightened as price according to the formula of final price=lowest price-parameter 1, and parameter 1 is set at lowest price usually and multiply by a little coefficient, makes its result allow the seller's the price can be lower than existing market lowest price.
11, as claimed in claim 9 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, wherein seller's price is higher than the market lowest price and means that the seller may thereby need downgrade price with the competition of other manufacturer, and computer program will downgrade price according to rule decided at the higher level but not officially announced.
12, as claimed in claim 11 with the network is the basis can automatic pick-up, the computer program calculation method of different product price on comparison and the renewal webserver, wherein to downgrade the rule decided at the higher level but not officially announced of price as follows for computer program:
If seller's price-lowest price＜parameter 2
Wherein parameter 2 is default constant
And (seller's price-lowest price)/lowest price＜parameter 3
Wherein parameter 3 is little marks
Then last price=lowest price-parameter 4
Wherein parameter 4 multiply by a little coefficient for lowest price
This rule decided at the higher level but not officially announced may be adjusted or changes according to the price mechanism in market on the category of product and the On-line Product.
13, as claimed in claim 1 is basis energy automatic pick-up with the network, compare and upgrade the computer program calculation method of different product price on the webserver, wherein the comparison of product price will be according to the seller's base price for the price of extraordinary item, the standard that seller's price is higher than the market lowest price adjustment of comparing, if the price of extraordinary item can't satisfy above-mentioned two conditions, the price of this extraordinary item can be deleted from selling inventory, and select another new product to substitute automatically, perhaps choose these products, according to circumstances adjust price again according to the market demand.
14, as claimed in claim 13 is basis energy automatic pick-up with the network, compare and upgrade the computer program calculation method of different product price on the webserver, wherein computer program can automatic assembly the rank list of every product, and list printed for daily reference, and from list, select new project according to the present market demand, if it all is identical product that a lot of projects are arranged on the discovery market, just represent that this project is very welcome, this moment, program will be chosen these projects earlier, the price standard also can be adjusted easily and make the seller's price drop on the second or the 3rd at a low price position, as long as require in the 12 described rules decided at the higher level but not officially announced at aforesaid right, the value of lowest price is substituted by second low price or the 3rd at a low price, and then the new price of this purpose will drop on the rank position of being desired automatically.
15, as claimed in claim 1 is the computer program calculation method of different product price on basis energy automatic pick-up, comparison and the renewal webserver with the network, consistent in order to ensure the price that shows on the e-commerce website with price on the price comparison website, when price is adjusted in the price comparison website, price is seen through computer program and is adjusted renewal synchronously on the e-commerce website, allows price and the relatively price synchronization of website.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA031242499A CN1542605A (en) | 2003-04-30 | 2003-04-30 | Computer program calculus method based on network capable of automatically picking, comparing and updating selling price of products on network server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA031242499A CN1542605A (en) | 2003-04-30 | 2003-04-30 | Computer program calculus method based on network capable of automatically picking, comparing and updating selling price of products on network server |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1542605A true CN1542605A (en) | 2004-11-03 |
Family
ID=34321610
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA031242499A Pending CN1542605A (en) | 2003-04-30 | 2003-04-30 | Computer program calculus method based on network capable of automatically picking, comparing and updating selling price of products on network server |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN1542605A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102737315A (en) * | 2011-04-01 | 2012-10-17 | 腾讯科技（深圳）有限公司 | Method and server for automatically triggering commodity attribute modification |
| CN101218582B (en) * | 2005-07-12 | 2013-01-16 | 微软公司 | Method for searching and browsing URL and URL history |
| CN106716457A (en) * | 2014-05-21 | 2017-05-24 | 奇瑞弗奇彭有限公司 | Automated best rate guarantee |
| CN108122130A (en) * | 2017-12-05 | 2018-06-05 | 天脉聚源（北京）科技有限公司 | Merchandise control method and device |
| CN109461047A (en) * | 2018-09-30 | 2019-03-12 | 口碑(上海)信息技术有限公司 | The generation method and device that vegetable disposition is suggested |
| CN111179010A (en) * | 2019-09-27 | 2020-05-19 | 任我游（厦门）科技发展有限公司 | Online notarization method, system, device and medium for unreasonable price products |
| CN112183985A (en) * | 2020-09-21 | 2021-01-05 | 南京安全无忧网络科技有限公司 | Enterprise safety risk early warning method |
-
2003
- 2003-04-30 CN CNA031242499A patent/CN1542605A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101218582B (en) * | 2005-07-12 | 2013-01-16 | 微软公司 | Method for searching and browsing URL and URL history |
| CN102737315A (en) * | 2011-04-01 | 2012-10-17 | 腾讯科技（深圳）有限公司 | Method and server for automatically triggering commodity attribute modification |
| CN106716457A (en) * | 2014-05-21 | 2017-05-24 | 奇瑞弗奇彭有限公司 | Automated best rate guarantee |
| CN108122130A (en) * | 2017-12-05 | 2018-06-05 | 天脉聚源（北京）科技有限公司 | Merchandise control method and device |
| CN109461047A (en) * | 2018-09-30 | 2019-03-12 | 口碑(上海)信息技术有限公司 | The generation method and device that vegetable disposition is suggested |
| CN111179010A (en) * | 2019-09-27 | 2020-05-19 | 任我游（厦门）科技发展有限公司 | Online notarization method, system, device and medium for unreasonable price products |
| CN112183985A (en) * | 2020-09-21 | 2021-01-05 | 南京安全无忧网络科技有限公司 | Enterprise safety risk early warning method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US20040249643A1 (en) | Web-based computer programming method to automatically fetch, compare, and update various product prices on the web servers | |
| CN103150352B (en) | System to generate related search queries | |
| US8712868B2 (en) | Listing recommendation using generation of a user-specific query in a network-based commerce system | |
| US6978273B1 (en) | Rules based custom catalogs generated from a central catalog database for multiple entities | |
| TWI512653B (en) | Information providing method and apparatus, method and apparatus for determining the degree of comprehensive relevance | |
| US20040078214A1 (en) | Product recommendation in a network-based commerce system | |
| US20020099562A1 (en) | System and method of data exchange for electronic transactions with multiple sources | |
| US9984150B2 (en) | Category management and analysis | |
| US20150310526A1 (en) | Incremental searching in ecommerce | |
| CN106997390B (en) | Commodity transaction information searching method for equipment accessories or parts | |
| CN103020240A (en) | Commodity search method of online shopping platform | |
| CN107241914B (en) | System and method for search query rewriting | |
| CN104050187A (en) | Search result display method and system | |
| EP1518201A2 (en) | Method system and computer program product for dynamic construction of packages and optimal assignement of generated packages to shopping categories | |
| US8838618B1 (en) | System and method for identifying feature phrases in item description information | |
| KR20210097578A (en) | Ubiquitous smart shopping system that provides optimized shopping means for users | |
| US20050177498A1 (en) | Providing visualization of market offers using a multi-dimensional display including geometrically shaped icons | |
| CN1542605A (en) | Computer program calculus method based on network capable of automatically picking, comparing and updating selling price of products on network server | |
| WO1999026173A1 (en) | A configurable electronic trading system and the method therefor | |
| US20120109783A1 (en) | Product information search | |
| US20110119117A1 (en) | Generation of products in catalogs from divergent listings | |
| KR20040086492A (en) | Method for pc specification analyzation and compensating sales using internet | |
| CN106777405B (en) | A method for promoting low-frequency commodity transactions based on SaaS services | |
| Feng et al. | Rainbow product ranking for upgrading e-commerce | |
| US20170075998A1 (en) | Assessing translation quality |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |