Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Movie recommendation method based on family knowledge graph

A knowledge map and recommendation method technology, applied in the field of intelligent recommendation, can solve problems such as difficulties and achieve the effect of improving the accuracy of recommendation

Active Publication Date: 2020-10-30
SHANDONG UNIV
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008]Main difficulties in intelligent recommendation technology for family scenarios: effective application of multi-dimensional attributes of family members

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 based on family knowledge graph
  • Movie recommendation method based on family knowledge graph
  • Movie recommendation method based on family knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] An intelligent movie recommendation method based on user implicit behavior and sentiment analysis for family scenes based on interconnection platform, such as image 3 shown, including the following steps:

[0069] A. Build and train a context-aware recommendation model

[0070] (1) Build a family knowledge map:

[0071] The family knowledge map shows the relationship between entities and entities, and it is a formal description of real family things and relationships, such as figure 2 As shown, the triplet D=(E, C, S) is used to represent the family knowledge map, and D represents the knowledge base; E={e 1 , e 2 ,... e i ,... e j ,...,e |E|}, represents the subject entity set in D, and there are |E| kinds of subject entities in the subject entity set; the subject entities include family members, smart devices, and watching movies; for example: Zhang San, smart TV, Avengers Alliance; C={c 1 , c 2 ,...,c i ..., c j ..., c |C|}, represents the relationship set ...

Embodiment 2

[0095] According to a family-oriented scenario-based interconnection platform-based user implicit behavior and sentiment analysis intelligent movie recommendation method described in Embodiment 1, the difference lies in:

[0096] Step (1), building a family knowledge map through information extraction, information extraction is also called knowledge extraction, which is the first step in the construction of a family knowledge map, which means that knowledge can be extracted from data from different sources, and knowledge can be stored in the family Knowledge graph; includes:

[0097] The data source of the family scene includes the running status log of the smart device in the family; since the running status log format is single, for example, the working log format of the smart TV is , therefore, through family members, smart devices, playing content Complete the entity extraction of the family knowledge graph based on statistics; automatically complete the relationship extra...

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 relates to a movie recommendation method based on a family knowledge graph. The method comprises the following steps: A, constructing and training to obtain a context-aware recommendation model: (1) constructing a family knowledge graph; (2) preprocessing data; (3) constructing a context awareness recommendation model; (4) integrating family member similarity; (5) training the context awareness recommendation model; B, predicting scores of family members for each known movie through the trained context awareness recommendation model, and recommending the scores to the family members. According to the method, the three-dimensional tensor model is constructed, the context information of the family knowledge graph is fused, and the similarity relationship of family members is fused into the score prediction model, so the problem of data sparseness can be remarkably relieved, and the recommendation accuracy is improved.

Description

technical field [0001] The invention relates to a movie recommendation method based on a family knowledge map, and belongs to the technical field of intelligent recommendation. Background technique [0002] The advancement of social science and technology drives the development of many industries. In recent years, science and technology and the economy have advanced by leaps and bounds, people's living standards have also been improved, and the pursuit of quality of life has become more refined, and the intelligence of life is a prominent aspect. Technology products such as smart home and smart home robots are gradually attracting people's attention. In smart homes, smart homes can better provide us with convenient services, provide us with important information in our lives, make reasonable arrangements for our daily lives, and make full use of our time and resources. [0003] With the improvement of home intelligence, people have encountered the problem of information ov...

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): G06F16/435G06F16/48G06F16/36
CPCG06F16/435G06F16/48G06F16/367
Inventor 李玉军孙国强胡伟凤高雪松林森
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com