Movie recommendation method and apparatus

A recommendation method, movie technology, applied in business, equipment, sale/lease transactions, etc., can solve the problem of not being able to recommend movies to target users, and achieve a good novelty effect

Inactive Publication Date: 2017-05-31
TCL CORPORATION
View PDF4 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a movie recommendation method and device to solve the problem in the prior art that a single recommendation algorithm based on collaborative filtering cannot recommend movies to new users or target users with fewer movie reviews

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Movie recommendation method and apparatus
  • Movie recommendation method and apparatus
  • Movie recommendation method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0021] figure 1 A flow chart of the implementation of the movie recommendation method provided by Embodiment 1 of the present invention is shown. like figure 1 As shown, the movie recommendation method includes the following steps:

[0022] S1: Identify the target user, and determine whether the target user is a registered user.

[0023] Wherein, the target user may refer to a user who currently browses webpages on a certain website. Specifically, it is determined whether the target user is a registered user by detecting whether the target user successfully logs in to the website.

[0024] S2: If it is a registered user, determine whether the target user's evaluation number of the movie is greater than or equal to a preset evaluation threshold.

[0025] If it has been determined in S1 that the target user is a registered user, continue to determine whether the number of evaluations by the target user on the movies in the website is greater than or equal to the preset evalu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention is suitable for the technical field of recommendation algorithm applications and provides a movie recommendation method and apparatus. The method comprises the steps of identifying and judging whether a target user is a registered user or not; if the target user is the registered user, judging whether an evaluation number of the target user for a movie is greater than or equal to a preset evaluation threshold; if the evaluation number is greater than or equal to the preset evaluation threshold, recommending the movie to the target user by a movie feature-based collaborative filtering recommendation model; and if the target user is not the registered user or the evaluation data is smaller than the preset evaluation threshold, recommending the movie to the target user by a WEB usage mining-based recommendation model. According to the movie recommendation method, corresponding recommendation methods can be used for different target users, so that the movies recommended to the target users can conform to the interests and preferences of the target users to the maximum extent; and the problem that the movies cannot be recommended to new users or target users with relatively small movie evaluation numbers in a collaborative filtering-based single recommendation algorithm in the prior art can be solved.

Description

technical field [0001] The invention belongs to the technical field of recommendation algorithm application, and in particular relates to a movie recommendation method and device. Background technique [0002] The recommendation system has a good development and application prospect in the electronic commerce system, and gradually becomes an important research content of electronic commerce IT technology. The biggest advantage of the recommendation system is to collect the information that the user is interested in, analyze the information to obtain the user's interest preference, and make personalized recommendations for the user according to the user's interest preference. At present, recommender systems have been widely used in different fields, such as movie recommendation. The recommendation algorithm based on collaborative filtering is favored because it is easy to tap the potential new interests of users. The current movie recommendation system basically uses this si...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 冯研
Owner TCL CORPORATION
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap