Improving recommendations using context from users' reviews

Titre	Improving recommendations using context from users' reviews
Publication Type	Conference Paper
Year of Publication	2016
Authors	Lahlou, FZ, Benbrahim, H, Kassou, I
Conference Name	Proceedings of the 27th International Business Information Management Association Conference - Innovation Management and Education Excellence Vision 2020: From Regional Development Sustainability to Global Economic Growth, IBIMA 2016
Abstract	Recommender systems enable E-commerce websites to improve their sales by suggesting relevant items to customers. If considering the context of buying situations, more accurate recommendations can be computed. In this paper, we discuss the issue of using the contextual information contained in users' reviews in order to improve recommendation. Copyright © 2016 International Business Information Management Association
URL	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84984653667&partnerID=40&md5=a03c657d3c2b4702850bc5f2e897eb3a