Semantic Web mining for Content-Based Online Shopping Recommender Systems
نویسندگان
چکیده
منابع مشابه
Use of Semantic Similarity and Web Usage Mining to Alleviate the Drawbacks of User-Based Collaborative Filtering Recommender Systems
One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...
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Metadata vocabularies provide various semantic relations between concepts. For content-based recommender systems, these relations enable a wide range of concepts to be recommended. However, not all semantically related concepts are interesting for end users. In this paper, we identified a number of semantic relations, which are both within one vocabulary (e.g. a concept has a broader/narrower c...
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ژورنال
عنوان ژورنال: International Journal of Intelligent Information Technologies
سال: 2019
ISSN: 1548-3657,1548-3665
DOI: 10.4018/ijiit.2019100103