M
Magdalini Eirinaki
Researcher at San Jose State University
Publications - 75
Citations - 3043
Magdalini Eirinaki is an academic researcher from San Jose State University. The author has contributed to research in topics: Recommender system & Personalization. The author has an hindex of 20, co-authored 72 publications receiving 2772 citations. Previous affiliations of Magdalini Eirinaki include Athens University of Economics and Business.
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Journal ArticleDOI
Web mining for web personalization
TL;DR: This article introduces the modules that comprise a Web personalization system, emphasizing the Web usage mining module, and presents a review of the most common methods that are used as well as technical issues that occur.
Journal ArticleDOI
Feature-based opinion mining and ranking
TL;DR: An algorithm is presented which not only analyzes the overall sentiment of a document/review, but also identifies the semantic orientation of specific components of the review that lead to a particular sentiment.
Proceedings ArticleDOI
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process
TL;DR: SEWeP is presented, a system that makes use of both the usage logs and the semantics of a Web site's content in order to personalize it and introduces C-logs, an extended form of Web usage logs that encapsulates knowledge derived from the link semantics.
Journal ArticleDOI
Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions
TL;DR: This work reviews the various facets of large-scale social recommender systems, summarizing the challenges and interesting problems and discussing some of the solutions.
Book ChapterDOI
Query Recommendations for Interactive Database Exploration
TL;DR: The idea is to track the querying behavior of each user, identify which parts of the database may be of interest for the corresponding data analysis task, and recommend queries that retrieve relevant data.