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Movie recommendation method based on family knowledge graph
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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
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[0008]Main difficulties in intelligent recommendation technology for family scenarios: effective application of multi-dimensional attributes of family members
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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...
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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 awarenessrecommendation model; (4) integrating family member similarity; (5) training the context awarenessrecommendation 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...
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