• Publications
  • Influence
Web mining for web personalization
TLDR
We present a survey of the use of Web mining for Web personalization. Expand
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Feature-based opinion mining and ranking
TLDR
We propose an opinion mining and ranking algorithm that first classifies a review as positive, negative or neutral but also identifies the product’s more representative features and assigns overall “impression” weights to each one of them. Expand
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SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
TLDR
In this paper, we present SEWeP, a system that makes use of both the usage logs and the semantics of a Web site's content in order to personalize it. Expand
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Query Recommendations for Interactive Database Exploration
TLDR
We propose the use of personalized query recommendations based on user-based collaborative filtering in the context of relational database systems. Expand
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QueRIE: Collaborative Database Exploration
TLDR
We propose an instantiation of the QueRIE framework, where the active user's session is represented by a set of query fragments. Expand
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SQL QueRIE recommendations
TLDR
This demonstration presents QueRIE, a recommender system that supports interactive database exploration, using user traces collected from the SkyServer query log. Expand
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A Study on Social Network Metrics and Their Application in Trust Networks
TLDR
Social network analysis has recently gained a lot of interest because of the advent and the increasing popularity of social media, such as blogs, social networks, micro logging, or customer review sites. Expand
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Usage-based PageRank for Web personalization
TLDR
In this paper we present UPR, a novel personalization algorithm which combines usage data and link analysis techniques for ranking and recommending Web pages to the end user. Expand
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Web personalization integrating content semantics and navigational patterns
TLDR
The amounts of information residing on web sites make users' navigation a hard task. Expand
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