Anand et al., 2025 - Google Patents
A survey on recommender systems using graph neural networkAnand et al., 2025
View PDF- Document ID
- 11862900531243707363
- Author
- Anand V
- Maurya A
- Publication year
- Publication venue
- ACM Transactions on Information Systems
External Links
Snippet
The expansion of the Internet has resulted in a change in the flow of information. With the vast amount of digital information generated online, it is easy for users to feel overwhelmed. Finding the specific information can be a challenge, and it can be difficult to distinguish …
- 238000013528 artificial neural network 0 title abstract description 76
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- 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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- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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- G06F17/30029—Querying by filtering; by personalisation, e.g. querying making use of user profiles
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- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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- G06Q10/00—Administration; Management
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