Khodabandehlou, 2019 - Google Patents
Designing an e-commerce recommender system based on collaborative filtering using a data mining approachKhodabandehlou, 2019
View PDF- Document ID
- 16465256504930425239
- Author
- Khodabandehlou S
- Publication year
- Publication venue
- International Journal of Business Information Systems
External Links
Snippet
E-commerce recommender systems have been converted to a very important decision- making helper for customers, and provide online personalised recommendations using information technology and customers' information. In the meantime, collaborative filtering …
- 238000001914 filtration 0 title abstract description 7
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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- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/01—Social networking
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