A Survey on Knowledge Graph-Based Recommender Systems
| Autor: | Jiangzhou Liu, Li Duan |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Information retrieval
Computer science business.industry Information technology Cognition 02 engineering and technology Recommender system Automation Domain (software engineering) Knowledge graph Cold start 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Information explosion |
| Zdroj: | 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). |
| Popis: | To solve the cognitive overlord problem and information explosion, recommender systems have been using to model the user interest. Although recommender systems have been developed for decades, there still exists many problems such as cold start and data sparsity. Thus, the knowledge graph is introduced into the recommendation domain to alleviate these problems. We collect papers related to the knowledge graph-based recommender systems in recent years to summarize their fundamental knowledge and main ideas, including the usage of the knowledge graph in the recommender systems and user interest models. Finally, we propose several future directions aiming to make some progress. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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