Toward recommendation based on ontology-powered web-usage mining

被引:23
作者
Adda, Mehdi [1 ]
Valtchev, Petko
Missaoui, Rokia
Djeraba, Chabane
机构
[1] Univ Montreal, Montreal, PQ H3C 3J7, Canada
[2] Univ Quebec, Ste Foy, PQ G1V 2M3, Canada
[3] Univ Lille, Lille, France
关键词
Frequent patterns; Ontologies; Recommendation;
D O I
10.1109/MIC.2007.93
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:45 / 52
页数:8
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