期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2017
卷号：6
期号：2
页码：1661
DOI：10.15680/IJIRSET.2017.0602033
出版社：S&S Publications
摘要：Recommender systems are software agents that can predict preference or interest of individualcustomers and recommend items accordingly. Online recommender systems have been improving systematically in thelast decade. With the booming of location sharing services, location and travel recommendation systems are alsoimproving. In Location Based Social networks (LBSN) users share their geo-spatial locations and location relatedcontents. The enlarging geo-spatial dataset in Location Based Social Networks, inspired development of noveltechniques and features in recommender systems. Travel Recommender systems (TRS) are emulation of offline travelagents. TRS provide users travel suggestions which helps in their decision making. In this paper a review of travelrecommender systems is provided. An extensive survey is conducted on each work and is presented. The merits anddemerits of selected works are summarised and is presented.
