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WO2017128146A1 - Procédé de recommandation de vidéo sur la base d'un certificat d'identification et système de recommandation - Google Patents

Procédé de recommandation de vidéo sur la base d'un certificat d'identification et système de recommandation Download PDF

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Publication number
WO2017128146A1
WO2017128146A1 PCT/CN2016/072395 CN2016072395W WO2017128146A1 WO 2017128146 A1 WO2017128146 A1 WO 2017128146A1 CN 2016072395 W CN2016072395 W CN 2016072395W WO 2017128146 A1 WO2017128146 A1 WO 2017128146A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
unit
tags
card
video
Prior art date
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Ceased
Application number
PCT/CN2016/072395
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English (en)
Chinese (zh)
Inventor
张仓
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to PCT/CN2016/072395 priority Critical patent/WO2017128146A1/fr
Publication of WO2017128146A1 publication Critical patent/WO2017128146A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor

Definitions

  • the invention belongs to the field of home appliances, and particularly relates to a method for recommending movies according to an ID card and a recommendation system.
  • the current TV has a function based on the user's on-demand recording, using big data thinking to derive user interest and recommending video resources, it is not useful for users who frequently travel and frequently change hotels.
  • the embodiment of the invention provides a method for recommending a movie according to an ID card, and aims to provide a kind of defect that the television cannot recommend the film and the user experience according to the user interest when the hotel is frequently changed, and needs to provide a different hotel.
  • the present invention is implemented as follows: a method for recommending a movie based on an ID card, comprising the following steps:
  • the top three tags in the user's on-demand records are counted
  • the video resources with the same tags and not yet clicked by the user are recommended to the user.
  • the embodiment of the invention further provides a recommendation system, including:
  • Recording unit reading unit, search unit, statistical unit, push 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 video resources with the same tags and not yet clicked by the user are recommended to the user.
  • the invention binds the user's on-demand record and the ID card, so that the user can intelligently recommend the relevant movie according to the user's preference in different hotels.
  • FIG. 1 is a schematic flowchart of a method for 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 recommending a movie according to an ID card provided by the 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 in the appearance frequency, the video resource with the same label and not yet clicked by the user is recommended to the user.
  • the invention binds the user's on-demand record and the ID card, so that the user can intelligently recommend the relevant movie according to the user's preference in different hotels.
  • 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 and an output end of the statistical unit, respectively According to the top three tags of the appearance frequency, the video resources with the same tags and not yet clicked by the user are recommended to the user.
  • 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.
  • 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 in the appearance frequency, the video resource with the same label and not yet clicked by the user is recommended to the user.
  • the invention binds the user's on-demand record and the ID card, so that the user can intelligently recommend the relevant movie according to the user's preference in different hotels.

Landscapes

  • 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)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (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 recommandation de vidéo sur la base d'un certificat d'identification et à un système de recommandation, le procédé comprenant 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 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 (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 de manière intelligente à l'utilisateur, sur la base de préférences de l'utilisateur, des films associés lorsque l'utilisateur loge dans différents hôtels.
PCT/CN2016/072395 2016-01-27 2016-01-27 Procédé de recommandation de vidéo sur la base d'un certificat d'identification et système de recommandation Ceased WO2017128146A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/072395 WO2017128146A1 (fr) 2016-01-27 2016-01-27 Procédé de recommandation de vidéo sur la base d'un certificat d'identification et système de recommandation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2016/072395 WO2017128146A1 (fr) 2016-01-27 2016-01-27 Procédé de recommandation de vidéo sur la base d'un certificat d'identification et système de recommandation

Publications (1)

Publication Number Publication Date
WO2017128146A1 true WO2017128146A1 (fr) 2017-08-03

Family

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Application Number Title Priority Date Filing Date
PCT/CN2016/072395 Ceased WO2017128146A1 (fr) 2016-01-27 2016-01-27 Procédé de recommandation de vidéo sur la base d'un certificat d'identification et système de recommandation

Country Status (1)

Country Link
WO (1) WO2017128146A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115086700A (zh) * 2022-06-15 2022-09-20 北京有竹居网络技术有限公司 推送处理方法、装置、设备及介质
CN115659027A (zh) * 2022-10-28 2023-01-31 广州彩蛋文化传媒有限公司 一种基于短视频数据标签的推荐方法、系统及云平台

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

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115086700A (zh) * 2022-06-15 2022-09-20 北京有竹居网络技术有限公司 推送处理方法、装置、设备及介质
CN115659027A (zh) * 2022-10-28 2023-01-31 广州彩蛋文化传媒有限公司 一种基于短视频数据标签的推荐方法、系统及云平台

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