Personalized landmark recommendation based on geotags from photo sharing sites

TitlePersonalized landmark recommendation based on geotags from photo sharing sites
Publication TypeConference Paper
Year of Publication2011
AuthorsShi, Y, Serdyukov, P, Hanjalic, A, Larson, MA
Refereed DesignationRefereed
Conference NameICWSM '11: the 5th AAAI Conference on Weblogs and Social Media
Pagination622-625
PublisherAAAI
Conference LocationBarcelona, Spain
Keywordscollaborative filtering, geotag, location-based services, matrix factorization, Recommender systems
Abstract

Geotagged photos of users on social media sites provide abundant location-based data, which can be exploited for various location-based services, such as travel recommendation. In this paper, we propose a novel approach to a new application, i.e., personalized landmark recommendation based on users’ geotagged photos. We formulate the landmark recommendation task as a collaborative filtering problem, for which we propose a category-regularized matrix factorization approach that integrates both user-landmark preference and category-based landmark similarity. We collected geotagged photos from Flickr and landmark categories from Wikipedia for our experiments. Our experimental results demonstrate that the proposed approach outperforms popularity-based landmark recommendation and a basic matrix factorization approach in recommending personalized landmarks that are less visited by the population as a whole.

URLhttp://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/view/2773