Gayathri et al., 2023 - Google Patents
Personalized Recommender System Using Topic Modelling ApproachGayathri et al., 2023
- Document ID
- 12623628718198820036
- Author
- Gayathri K
- Mohana R
- Sagana M
- Publication year
- Publication venue
- International Conference on Intelligent Computing Systems and Applications
External Links
Snippet
A personalized recommender system provides recommendations to users based on their preferences, behaviors, and past interactions with a platform. Data sparsity, cold start, bias, privacy concerns, lack of transparency and overfitting are the challenges in this system …
- 238000013459 approach 0 title abstract description 22
Classifications
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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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- 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
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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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