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Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-31
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
To solve the problem that collaborative filtering algorithm only uses the user-item rating matrix and does not consider semantic information, we proposed a novel collaborative filtering recommendation algorithm based on knowledge graph.
Using the knowledge graph representation learning method, this method embeds the existing semantic data into a low-dimensional vector space.
It integrates the semantic information of items into the collaborative filtering recommendation by calculating the semantic similarity between items.
The shortcoming of collaborative filtering algorithm which does not consider the semantic information of items is overcome, and therefore the effect of collaborative filtering recommendation is improved on the semantic level.
Experimental results show that the proposed algorithm can get higher values on precision, recall, and F-measure for collaborative filtering recommendation.
American Psychological Association (APA)
Mu, Ruihui& Zeng, Xiaoqin. 2018. Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1209729
Modern Language Association (MLA)
Mu, Ruihui& Zeng, Xiaoqin. Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1209729
American Medical Association (AMA)
Mu, Ruihui& Zeng, Xiaoqin. Collaborative Filtering Recommendation Algorithm Based on Knowledge Graph. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1209729
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1209729