Liu et al., 2022 - Google Patents
Personalised context-aware re-ranking in recommender systemLiu et al., 2022
View PDF- Document ID
- 8913207220120671671
- Author
- Liu X
- Wang G
- Bhuiyan M
- Publication year
- Publication venue
- Connection Science
External Links
Snippet
Recommender systems can help correlate information and recommend personalised services to users as a general information filtering tool. However, contextual factors significantly affect user behaviour, especially in the Internet of Things (IoT), which brings …
- 238000000034 method 0 abstract description 11
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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- G06F17/30023—Querying
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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
- 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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- H04L67/30—Network-specific arrangements or communication protocols supporting networked applications involving profiles
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