Motevallian et al., 2021 - Google Patents
Using trust statements and ratings by GraphSAGE to alleviate cold start in recommender systemsMotevallian et al., 2021
- Document ID
- 13028548476337859201
- Author
- Motevallian S
- Hasheminejad S
- Publication year
- Publication venue
- 2021 12th International Conference on Information and Knowledge Technology (IKT)
External Links
Snippet
With the growing volume of information being expanded by product and service providers, recommender systems have become a tool to prevent information overload. One of the most popular types of recommender systems is collaborative filtering. The issue of user cold start …
- 230000001537 neural 0 abstract description 13
Classifications
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- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30533—Other types of queries
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06N99/00—Subject matter not provided for in other groups of this subclass
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
- G06Q30/02—Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
- G06Q30/0202—Market predictions or demand forecasting
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