Nick Golovin

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We present a new approach to information fusion of web data sources. It is based on peer-to-peer mappings between sources and utilizes correspondences between their instances. Such correspondences are already available between many sources, e.g. in the form of web links, and help combine the information about specific objects and support a high quality data(More)
A large number of Web sites use online recommendations to make Web users interested in their products or content. Since no single recommendation approach is always best it is necessary to effectively combine different recommendation algorithms. This paper describes the architecture of a rule-based recommendation system which combines recommendations from(More)
Web recommendation systems have become a popular means to improve the usability of web sites. This paper describes the architecture of a rule-based recommendation system and presents its evaluation on two real-life applications. The architecture combines recommendations from different algorithms in a recommendation database and applies feedback-based(More)
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