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Cold start recommendation method and system of television applet

A recommendation method and technology of recommendation system, applied in the field of cold start recommendation of TV mini-programs, can solve problems such as inapplicability of TV fixed products, inappropriate product recommendation, etc.

Pending Publication Date: 2022-04-01
SHANGHAI SHIJIU INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Patent document CN112528164A (application number: CN202011465765.4) discloses a user collaborative filtering recall method and device. However, this patent scenario requires users to have actions for products before they can recommend them. For a new product, not everyone Users will act on it, so it is not suitable for this kind of product recommendation
[0004] Patent document CN107590245A (application number: CN201710829260.3) discloses a light application recommendation method, equipment and electronic equipment. However, the real scene required by this patent is unique to the mobile terminal, and it is not suitable for fixed products such as TV. Be applicable

Method used

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  • Cold start recommendation method and system of television applet
  • Cold start recommendation method and system of television applet
  • Cold start recommendation method and system of television applet

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Embodiment

[0048] The present invention provides a cold-start recommendation scheme for TV applets. The scheme trains embeddings through user viewing behaviors, and then divides user embeddings into multiple categories through a clustering algorithm. Users in the same category have different family structures. There is a certain similarity in interest and hobbies, extracting the favorite applet of this type of user and recommending it to other users belonging to this type can be used as a cold start method for TV applet recommendation.

[0049] Such as figure 1 , including the following steps:

[0050] Step 1: Collect the behavior data of users using video on demand through data management on the TV side, such as viewing, favorite, cancel favorite of video content, as well as the name, duration, type and other information of the video, and store the data in the database .

[0051] Step 2: Collect the behavioral data of the user using the TV applet through data management on the TV side...

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Abstract

The invention provides a cold start recommendation method and a cold start recommendation system for a television applet. The cold start recommendation method comprises the following steps: step 1, collecting behavior data of using video on demand and behavior data of using the television applet by a user at a television end in a data dotting manner; 2, preprocessing the collected behavior data; 3, performing machine learning training by using a factorization machine FM algorithm to obtain user data, and judging the similarity of the users according to the distance; 4, clustering the user data by using a K-means clustering algorithm; 5, if the most favorite applet of the user exists in N users with the closest User Embedding distance of the user, recommending the applet to the user; otherwise, hot applets in the cluster where the user is located are calculated and recommended, and therefore television applet cold start of the user is completed. The method solves the problem that the television applet is small in user data volume and difficult to recommend at the present stage.

Description

technical field [0001] The present invention relates to the technical field of data recommendation, in particular to a method and system for cold-start recommendation of TV applets. Background technique [0002] The TV applet is a product in the development stage on TV, and its user base is still relatively small, so it is difficult to make more accurate recommendations for each user, while relatively more users watch movies on TV. [0003] Patent document CN112528164A (application number: CN202011465765.4) discloses a user collaborative filtering recall method and device. However, this patent scenario requires users to have actions for products before they can recommend them. For a new product, not everyone Users will act on it, so it is not suitable for this kind of product recommendation [0004] Patent document CN107590245A (application number: CN201710829260.3) discloses a light application recommendation method, equipment and electronic equipment. However, the real sc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/442H04N21/443H04N21/466G06K9/62G06N20/10
Inventor 王翔
Owner SHANGHAI SHIJIU INFORMATION TECH CO LTD
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