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WO2018176456A1 - Procédé de recommandation de vidéos conformément aux enregistrements d'achats, et télévision numérique - Google Patents

Procédé de recommandation de vidéos conformément aux enregistrements d'achats, et télévision numérique Download PDF

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Publication number
WO2018176456A1
WO2018176456A1 PCT/CN2017/079258 CN2017079258W WO2018176456A1 WO 2018176456 A1 WO2018176456 A1 WO 2018176456A1 CN 2017079258 W CN2017079258 W CN 2017079258W WO 2018176456 A1 WO2018176456 A1 WO 2018176456A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
item
video
matching
type
Prior art date
Application number
PCT/CN2017/079258
Other languages
English (en)
Chinese (zh)
Inventor
刘晓强
Original Assignee
深圳市智晟达科技有限公司
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 深圳市智晟达科技有限公司 filed Critical 深圳市智晟达科技有限公司
Priority to CN201780000644.2A priority Critical patent/CN107223340A/zh
Priority to PCT/CN2017/079258 priority patent/WO2018176456A1/fr
Publication of WO2018176456A1 publication Critical patent/WO2018176456A1/fr

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213Monitoring of end-user related data
    • H04N21/44222Analytics of user selections, e.g. selection of programs or purchase activity
    • H04N21/44224Monitoring of user activity on external systems, e.g. Internet browsing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/478Supplemental services, e.g. displaying phone caller identification, shopping application
    • H04N21/47815Electronic shopping

Definitions

  • the present invention belongs to the field of the Internet and provides a method for recommending videos based on shopping records and digital television.
  • Online shopping is the process by which consumers make purchases through the Internet. Its main feature is that merchants and customers do not meet each other, through the network to make commodity information and money in the form of electronic dissemination on the network. Therefore, online shopping has the following characteristics: the information of the goods is more comprehensive and comprehensive, reducing the sales cost of the goods, saving the time and physical strength of the consumers, eliminating the face-to-face conflict between the consumers and the merchants, reducing the operating costs of the merchants, etc. It fully embodies the convenience and low cost of online shopping.
  • the advantages of online shopping have become more prominent, and it has increasingly become an important form of shopping. Online shopping has become a trend.
  • the current video website includes various types of videos.
  • the general operation of the customer is to obtain the required video by searching on the video website, and cannot actively push for the user's preference, and the user experience is poor.
  • the user matches the video according to the type of the product to be purchased, and recommends the video.
  • the embodiment of the invention also provides a digital television, the digital television comprising:
  • a recording unit for recording a type matching tag of the item and a video matching the item type tag
  • a detecting unit for detecting a user shopping record in the last 7 days
  • a recommendation unit wherein the input end is respectively connected to the output end of the recording unit and the output end of the detecting unit, and is configured to match the item type label according to the item purchased by the user in the last 7 days, and match the video according to the type of the purchased item, and recommend video.
  • FIG. 1 is a schematic flowchart of a method for recommending a video according to a shopping record according to an embodiment of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.
  • step S100 the matching type tag and the item type tag matching video are recorded.
  • step S101 the user shopping record is detected within the last 7 days.
  • step S102 the item type tag is matched according to the item purchased by the user in the last 7 days, the video is matched according to the item type tag, and the video is recommended.
  • the video 1 is recommended to the user.
  • FIG. 2 is a schematic structural diagram of a digital television according to an embodiment of the present invention, where the digital television includes:
  • the detecting unit 22 is configured to detect a user shopping record in the last 7 days;

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention appartient au domaine de l'Internet et concerne un procédé de recommandation de vidéos conformément aux enregistrement d'achats, et une télévision numérique. Le procédé consiste : à enregistrer des étiquettes de type mises en correspondance avec des articles, et des vidéos mises en correspondance avec les étiquettes de type d'article; à détecter des enregistrements d'achats d'un utilisateur au cours des sept derniers jours; à mettre en correspondance des étiquettes de type d'article conformément aux articles achetés par l'utilisateur au cours des sept derniers jours, à mettre en correspondance des vidéos conformément aux étiquettes de type d'article, et à recommander les vidéos. La présente invention enregistre les étiquettes de type mises en correspondance avec les articles, et les vidéos mises en correspondance avec les étiquettes de type d'article, de telle sorte que l'utilisateur peut obtenir des conseils vidéo conformément à leur consommation récente, et trouver des informations relatives à des articles, ce qui permet d'améliorer l'expérience de l'utilisateur.
PCT/CN2017/079258 2017-04-01 2017-04-01 Procédé de recommandation de vidéos conformément aux enregistrements d'achats, et télévision numérique WO2018176456A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201780000644.2A CN107223340A (zh) 2017-04-01 2017-04-01 根据购物记录推荐视频的方法以及数字电视
PCT/CN2017/079258 WO2018176456A1 (fr) 2017-04-01 2017-04-01 Procédé de recommandation de vidéos conformément aux enregistrements d'achats, et télévision numérique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/079258 WO2018176456A1 (fr) 2017-04-01 2017-04-01 Procédé de recommandation de vidéos conformément aux enregistrements d'achats, et télévision numérique

Publications (1)

Publication Number Publication Date
WO2018176456A1 true WO2018176456A1 (fr) 2018-10-04

Family

ID=59953853

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2017/079258 WO2018176456A1 (fr) 2017-04-01 2017-04-01 Procédé de recommandation de vidéos conformément aux enregistrements d'achats, et télévision numérique

Country Status (2)

Country Link
CN (1) CN107223340A (fr)
WO (1) WO2018176456A1 (fr)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102337061B1 (ko) * 2017-10-13 2021-12-07 미디어 그룹 코 엘티디 맞춤형 현장 정보 교환을 제공하기 위한 방법 및 시스템

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103856564A (zh) * 2014-03-17 2014-06-11 中国联合网络通信集团有限公司 一种提醒用户购买商品的方法及购物提醒服务器
CN105392021A (zh) * 2015-12-23 2016-03-09 武汉鸿瑞达信息技术有限公司 一种海量视频推送系统的推送方法及系统
CN106257444A (zh) * 2015-06-17 2016-12-28 阿里巴巴集团控股有限公司 一种信息的推送方法和设备

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103856564A (zh) * 2014-03-17 2014-06-11 中国联合网络通信集团有限公司 一种提醒用户购买商品的方法及购物提醒服务器
CN106257444A (zh) * 2015-06-17 2016-12-28 阿里巴巴集团控股有限公司 一种信息的推送方法和设备
CN105392021A (zh) * 2015-12-23 2016-03-09 武汉鸿瑞达信息技术有限公司 一种海量视频推送系统的推送方法及系统

Also Published As

Publication number Publication date
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