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WO2017128147A1 - Procédé de collecte d'informations de technologie lors d'une recommandation d'une vidéo à l'aide d'un certificat d'identification et système de recommandation - Google Patents

Procédé de collecte d'informations de technologie lors d'une recommandation d'une vidéo à l'aide d'un certificat d'identification et système de recommandation Download PDF

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Publication number
WO2017128147A1
WO2017128147A1 PCT/CN2016/072396 CN2016072396W WO2017128147A1 WO 2017128147 A1 WO2017128147 A1 WO 2017128147A1 CN 2016072396 W CN2016072396 W CN 2016072396W WO 2017128147 A1 WO2017128147 A1 WO 2017128147A1
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WO
WIPO (PCT)
Prior art keywords
user
unit
card
video
technology
Prior art date
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Ceased
Application number
PCT/CN2016/072396
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English (en)
Chinese (zh)
Inventor
张仓
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Individual
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Individual
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Publication date
Application filed by Individual filed Critical Individual
Priority to PCT/CN2016/072396 priority Critical patent/WO2017128147A1/fr
Publication of WO2017128147A1 publication Critical patent/WO2017128147A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor

Definitions

  • the invention belongs to the field of household appliances, and particularly relates to a technical information collecting method and a recommendation system when recommending a movie according to an ID card.
  • the number of invention patents applied by OPPO in 2014 was 938, while the number of invention patents of Tencent in the same period was 1,447.
  • the inventions of the two companies about 80% of the total number of invention patents related to user experience and direct user operations.
  • similar patent applications, including other companies based on user experience are also of a large order of magnitude, such as Huawei.
  • the patent application process and the post-authorization maintenance process will generate human and financial costs: such as replying to review opinions, paying license fees, etc., for core technologies (such as CDMA underlying technology) or market identification.
  • core technologies such as CDMA underlying technology
  • market identification For relatively high-tech technologies (such as sliding unlocking), the related costs are negligible, and the investment in these technologies is worthwhile, but such technologies are a minority after all, and more technologies have been verified by the market. The user's pain points or itch points cannot be touched, and the patent investment in these technologies is likely to cause cost waste.
  • the embodiment of the invention provides a method for collecting technical information when recommending a movie according to an ID card, and the purpose is to provide a defect that the television cannot recommend the film and the user experience according to the user interest when the hotel is frequently changed.
  • Different hotels can also intelligently recommend relevant videos according to user preferences.
  • the manufacturer to collect the relevant technology in a timely and effective manner.
  • the present invention is implemented as follows: a method for collecting technical information according to an ID card recommendation movie, comprising the following steps:
  • the top three tags in the user's on-demand records are counted
  • the video resource with the same label and not yet clicked by the user is recommended to the user, and the technical use data is sent to the data collection end preset by the manufacturer.
  • the embodiment of the invention further provides a recommendation system, including:
  • Recording unit reading unit, search unit, statistical unit, push unit, data sending unit, wherein:
  • a recording unit configured to record a matching label of a preset video resource
  • a search unit the input end of which is connected to the output end of the reading unit, and is used for searching the user's previous on-demand record according to the user ID card;
  • a pushing unit wherein an input end thereof is respectively connected to an output end of the recording unit and an output end of the statistical unit, and is used for According to the top three tags of the appearance frequency, the user is recommended to the video resource with the same tag and the user has not clicked on the video;
  • a data sending unit wherein the input end is connected to the output end of the pushing unit, and is configured to send technical usage data to a preset data collection end of the manufacturer.
  • the invention binds the user's on-demand record and the ID card, so that the user can intelligently recommend relevant videos according to the user's preference in different hotels, and at the same time, through timely feedback after using the technology, the manufacturer can also conveniently and timely collect relevant technologies. Usage.
  • FIG. 1 is a schematic flowchart of a method for collecting technical information when recommending a movie according to an ID card according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention.
  • figure 1 It is a schematic flowchart of a method for collecting technical information when recommending a movie according to an ID card according to an embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown.
  • step S101 a matching tag of the preset video resource is recorded.
  • step S102 the user ID card is read, and the second generation ID card is required.
  • the magnetic induction on the ID card reading device and the second generation ID card can be used to interpret the information recorded on the second generation ID card, such as the ID number and name.
  • step S103 the user's previous on-demand record is searched based on the user's ID card.
  • the ID card has previously broadcasted a series of comedy films such as "Thai" with the 'comedy' tag at various hotels, or searched the user's browsing history on other video players according to the ID card information.
  • step S104 according to the user's previous on-demand record, the top three tags in the user's on-demand record are counted.
  • the top three labels are the 'Mandarin' tabs that appear 10 times, and 9 The word 'comedy' tag and the 6 word 'modern' tag appeared.
  • step S105 According to the label of the top three occurrence frequency, the video resource with the same label and not yet clicked by the user is recommended to the user, and the technical use data is sent to the data collection end preset by the manufacturer.
  • the technology uses data for the user to use the data of the technology, that is, the data generated when the method completes the first few steps, the data includes the number of times the user uses the technology (eg, the first time using the technology within a certain period of time) Technology); the specific time point of using the technology; the user's related operations before and after using the technology can help the technology provider to better evaluate the market value of the technology, and better improve the technical data according to the feedback.
  • the invention binds the user's on-demand record and the ID card, so that the user can intelligently recommend relevant videos according to the user's preference in different hotels, and at the same time, through timely feedback after using the technology, the manufacturer can also conveniently and timely collect relevant technologies. Usage.
  • FIG. 2 is a schematic structural diagram of a recommendation system according to an embodiment of the present invention, where the user recommendation system includes:
  • a recording unit 21 configured to record a matching label of a preset video resource
  • the reading unit 22 is configured to read a user ID card
  • the derivation unit 23 has an input end connected to the output end of the reading unit, and is used for searching the user's previous on-demand record according to the user ID card. ;
  • a statistical unit 24 whose input end is connected to the output end of the search unit, and is used for According to the user's previous on-demand records, the top three tags in the user's on-demand records are counted;
  • a pushing unit 25 having an input end connected to an output end of the recording unit 21 and an output end of the statistical unit 24, respectively According to the top three tags of the appearance frequency, the user is recommended to the video resource with the same tag and the user has not clicked on the video;
  • the push unit can be connected to the in-house television to display the pushed video resources on the television screen.
  • the technology is prior art.
  • a data transmitting unit 26 an input end thereof and the push unit 25
  • the output connection is used to send technical usage data to the data acquisition terminal preset by the manufacturer.
  • the working principle is: the recording unit 21 records the matching tag of the preset video resource; the reading unit 22 reads the user ID card; the search unit 23 in the reading unit 22 read the user ID, search the user's past on-demand records; statistical unit 24, according to the search unit 23
  • the searched on-demand record counts the top three tags in the user's on-demand record; push unit 25 According to the label of the top three occurrence frequency, the video resource with the same label and not yet clicked by the user is recommended to the user, and the data sending unit 26 Send technical usage data to the data acquisition terminal preset by the manufacturer.
  • the invention binds the user's on-demand record and the ID card, so that the user can intelligently recommend relevant videos according to the user's preference in different hotels, and at the same time, through timely feedback after using the technology, the manufacturer can also conveniently and timely collect relevant technologies. Usage.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention, qui appartient au domaine de l'Internet, a trait à un procédé de collecte d'informations d'une technologie lors d'une recommandation d'une vidéo à l'aide d'un certificat d'identification et à un système de recommandation. Le procédé comprend les étapes suivantes consistant à : enregistrer une balise de correspondance prédéfinie d'une ressource vidéo (S101) ; lire un certificat d'identification d'un utilisateur (S102) ; rechercher, sur la base de du certificat d'identification de l'utilisateur, un historique de visionnage de vidéos de l'utilisateur (S103) ; compter et identifier, sur la base de l'historique de visionnage de vidéos de l'utilisateur, les trois balises apparaissant le plus fréquemment dans l'historique de visionnage de vidéos de l'utilisateur (S104) ; recommander à l'utilisateur, sur la base des trois balises les plus fréquentes, une ressource vidéo avec la même balise, la ressource vidéo n'ayant pas été visionnée auparavant par l'utilisateur, et envoyer des données d'utilisation de technologie à un terminal de collecte de données prédéfini par un fabricant (S105). Par la liaison d'un historique de visionnage d'un utilisateur à un certificat d'identification de l'utilisateur, l'invention est capable de recommander à l'utilisateur de manière intelligente, sur la base de préférences de l'utilisateur, des films associés lorsque l'utilisateur loge dans différents hôtels. Une information en retour opportune fournie après l'utilisation de la technologie permet également au fabricant de collecter facilement des informations d'état d'utilisation de la technologie associée d'une manière opportune et efficace.
PCT/CN2016/072396 2016-01-27 2016-01-27 Procédé de collecte d'informations de technologie lors d'une recommandation d'une vidéo à l'aide d'un certificat d'identification et système de recommandation Ceased WO2017128147A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/072396 WO2017128147A1 (fr) 2016-01-27 2016-01-27 Procédé de collecte d'informations de technologie lors d'une recommandation d'une vidéo à l'aide d'un certificat d'identification et système de recommandation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/072396 WO2017128147A1 (fr) 2016-01-27 2016-01-27 Procédé de collecte d'informations de technologie lors d'une recommandation d'une vidéo à l'aide d'un certificat d'identification et système de recommandation

Publications (1)

Publication Number Publication Date
WO2017128147A1 true WO2017128147A1 (fr) 2017-08-03

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PCT/CN2016/072396 Ceased WO2017128147A1 (fr) 2016-01-27 2016-01-27 Procédé de collecte d'informations de technologie lors d'une recommandation d'une vidéo à l'aide d'un certificat d'identification et système de recommandation

Country Status (1)

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WO (1) WO2017128147A1 (fr)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100153314A1 (en) * 2008-12-11 2010-06-17 George Forman Systems and methods for collaborative filtering using collaborative inductive transfer
CN102637178A (zh) * 2011-02-14 2012-08-15 北京瑞信在线系统技术有限公司 一种音乐推荐方法、装置及系统
CN102685566A (zh) * 2012-05-28 2012-09-19 北京网尚数字电影院线有限公司 一种音视频节目推荐方法
CN103179461A (zh) * 2013-03-27 2013-06-26 四川长虹电器股份有限公司 智能电视内容推荐的方法
CN104394471A (zh) * 2014-11-19 2015-03-04 四川长虹电器股份有限公司 一种智能推荐用户喜爱节目的方法
CN105142028A (zh) * 2015-07-29 2015-12-09 华中科技大学 面向三网融合的电视节目内容搜索与推荐方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20100153314A1 (en) * 2008-12-11 2010-06-17 George Forman Systems and methods for collaborative filtering using collaborative inductive transfer
CN102637178A (zh) * 2011-02-14 2012-08-15 北京瑞信在线系统技术有限公司 一种音乐推荐方法、装置及系统
CN102685566A (zh) * 2012-05-28 2012-09-19 北京网尚数字电影院线有限公司 一种音视频节目推荐方法
CN103179461A (zh) * 2013-03-27 2013-06-26 四川长虹电器股份有限公司 智能电视内容推荐的方法
CN104394471A (zh) * 2014-11-19 2015-03-04 四川长虹电器股份有限公司 一种智能推荐用户喜爱节目的方法
CN105142028A (zh) * 2015-07-29 2015-12-09 华中科技大学 面向三网融合的电视节目内容搜索与推荐方法

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