期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2016
卷号：5
期号：5
页码：16325-16328
DOI：10.18535/Ijecs/v5i4.52
出版社：IJECS
摘要：The creation of world of internet lead to many advancements in the technical as well as non-technical fields. Many thrivingindustries gained enormous advantages through the development of internet. Tourism is one among the flourishing industries of this era.Earlier the approach to visit a place is far beyond what is available today. Ranging from pamphlet to maps were made use to visit a place.Routing of places was done using maps and travel guides. Unlike before, the tourism industry has grown to great heights and handles thetours and travel without any manual intercession. The places are endorsed to users automatically using the recommendation system.Existing recommendation systems suffer from a problem of sparsity. Sparsity problem deals with inadequate data related to a user or anytravel region. The proposed approach concentrate on eliminating this snag in the existing approach and generating a travelrecommendation structure which focus on customized suggestions for users. The tags as well as geotags of images uploaded by the users onsocial sites like Flickr is made use in order to recommend the points of interest (POI) to the users. A hybrid approach with use of tags,geotags and the owner (author) of the image is proposed in this paper. User based collaborative filtering is used to create suggestions for theusers. The benefits of the proposed approach is manifested by experimental analysis on a large cluster of data.
关键词：Collaborative filtering; hybrid approach; POI; sparsity problem
