Integrating User Reviews and Ratings for Enhanced Personalized Searching

Autor/inn/en	Hu, Shuyue; Cai, Yi; Leung, Ho-fung; Huang, Dongping; Yang, Yang
Titel	Integrating User Reviews and Ratings for Enhanced Personalized Searching
Quelle	In: International Journal of Distance Education Technologies, 15 (2017) 2, S.86-101 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1539-3100
DOI	10.4018/IJDET.2017040106
Schlagwörter	Search Engines; Information Retrieval; Web Sites; Information Needs; Student Interests; User Satisfaction (Information); Users (Information) + Suchen Sie Ihr Suchwort? Suchmaschine; Web-Design; Information need; Informationsbedürfnis; Studieninteresse; Benutzerfreundlichkeit; Benutzerprofil; Nutzer
Abstract	With the development of e-commerce, websites such as Amazon and eBay have become very popular. Users post reviews of products and rate the helpfulness of reviews on these websites. Reviews written by a user and reviews rated by a user reflect the user's interests and disinterest. Thus, they are very useful for user profiling. In this study, the authors explore users' reviews and ratings of reviews for personalized searching and propose a review-based user profiling method. To satisfy a user's basic information needs, expressed in the form of a query, they also propose a priority-based result ranking strategy. For evaluation, they conduct experiments on a real-life data set. The experimental results show that their method can significantly improve retrieval quality. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01