Welcome to the InfoSci Platform
A Movie E-shop Recommendation Model Based on Web Usage and Ontological Data

A Movie E-shop Recommendation Model Based on Web Usage and Ontological Data

Andreas Aresti, Penelope Markellou, Ioanna Mousourouli, Spiros Sirmakessis, Athanasios Tsakalidis
Copyright: © 2007 |Volume: 5 |Issue: 3 |Pages: 18
ISSN: 1539-2937|EISSN: 1539-2929|ISSN: 1539-2937|EISBN13: 9781615205240|EISSN: 1539-2929|DOI: 10.4018/jeco.2007070102
Cite Article Cite Article

MLA

Aresti, Andreas, et al. "A Movie E-shop Recommendation Model Based on Web Usage and Ontological Data." JECO vol.5, no.3 2007: pp.17-34. http://doi.org/10.4018/jeco.2007070102

APA

Aresti, A., Markellou, P., Mousourouli, I., Sirmakessis, S., & Tsakalidis, A. (2007). A Movie E-shop Recommendation Model Based on Web Usage and Ontological Data. Journal of Electronic Commerce in Organizations (JECO), 5(3), 17-34. http://doi.org/10.4018/jeco.2007070102

Chicago

Aresti, Andreas, et al. "A Movie E-shop Recommendation Model Based on Web Usage and Ontological Data," Journal of Electronic Commerce in Organizations (JECO) 5, no.3: 17-34. http://doi.org/10.4018/jeco.2007070102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Recommendation systems are special personalization tools that help users to find interesting information and services in complex online shops. Even though today’s e-commerce environments have drastically evolved and now incorporate techniques from other domains and application areas such as Web mining, semantics, arti- ficial intelligence, user modeling, and profiling setting up a successful recommendation system is not a trivial or straightforward task. This paper argues that by monitoring, analyzing, and understanding the behavior of customers, their demographics, opinions, preferences, and history, as well as taking into consideration the specific e-shop ontology and by applying Web mining techniques, the effectiveness of produced recommendations can be significantly improved. In this way, the e-shop may upgrade users’ interaction, increase its usability, convert users to buyers, retain current customers, and establish long-term and loyal one-to-one relationships.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.