Toward Recommendation Based on Ontology- Powered Web-Usage Mining.
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| Title: | Toward Recommendation Based on Ontology- Powered Web-Usage Mining. |
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| Authors: | Adda, Mehdi1 adda@ieee.org, Valtchev, Petko1 valtchev.petko@uqam.ca, Missaoui, Rokia2 rokia.missaoui@uqo.ca, Djeraba, Chabane3 Djeraba@lifl.fr |
| Source: | IEEE Internet Computing. Jul/Aug2007, Vol. 11 Issue 4, p45-52. 8p. 1 Color Photograph, 2 Diagrams, 8 Charts, 1 Graph. |
| Subjects: | Internet users, Relevance, Orthogonalization, Ontology, Algorithms, Data mining, Metadata, Decision support systems, Online data processing, Search engines |
| Abstract: | Content adaptation on the Web reduces available information to a subset that matches a user's anticipated needs. Recommender systems rely on relevance scores for individual content items; in particular, pattern-based recommendation exploits co-occurrences of items in user sessions to ground any guesses about relevancy. To enhance the discovered patterns' quality, the authors propose using metadata about the content that they assume is stored in a domain ontology. Their approach comprises a dedicated pattern space built on top of the ontology, navigation primitives, mining methods, and recommendation techniques. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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