Zeleník et al., 2011 - Google Patents
News recommending based on text similarity and user behaviourZeleník et al., 2011
View PDF- Document ID
- 16037592806165910379
- Author
- Zeleník D
- Bieliková M
- Publication year
- Publication venue
- International Conference on Web Information Systems and Technologies
External Links
Snippet
In this paper we describe a method for recommending news on a news portal based on our novel representation by a similarity tree. Our method for recommending articles is based on their content. The recommendation employs a hierarchical incremental clustering which is …
- 230000000694 effects 0 abstract description 10
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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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30873—Retrieval from the Internet, e.g. browsers by navigation, e.g. using categorized browsing, portals, synchronized browsing, visual networks of documents, virtual worlds or tours
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- G06F17/30943—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
- G06F17/30946—Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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