Markellou et al., 2005 - Google Patents
Personalized e-commerce recommendationsMarkellou et al., 2005
View PDF- Document ID
- 9906295191420751251
- Author
- Markellou P
- Mousourouli I
- Sirmakessis S
- Tsakalidis A
- Publication year
- Publication venue
- IEEE International Conference on e-Business Engineering (ICEBE'05)
External Links
Snippet
Recommendation systems are special personalization tools that help users to find interesting information and services in complex online shops. Even though today's e- commerce environments have drastically evolved and now incorporate techniques from …
- 238000005065 mining 0 abstract description 30
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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- 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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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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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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