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The task is addressed by two content-based methods (a Weighted kNN classifier and a Rated Rocchio personalized query), Collaborative Filtering methods, as well as several (rank-based or rating-based) methods of merging results of different systems. Effectiveness is evaluated on two standard benchmark datasets, provided and used by TREC\u2019s Contextual Suggestion Tracks in 2015 and 2016. First, we enrich these datasets with more information on venues, collected from web services like Foursquare and Yelp; we make this extra data available for future experimentation. Then, we find that the content-based methods provide state-of-the-art effectiveness, the collaborative filtering variants mostly suffer from data sparsity problems in the current datasets, and the merging methods further improve results by mainly promoting the first relevant suggestion. Concerning mobile feasibility, efficiency, and user privacy, the content-based methods, especially Rated Rocchio, are the best. Collaborative filtering has the worst efficiency and privacy leaks. Our findings can be very useful for developing effective and efficient operational systems, respecting user privacy. Last, our experiments indicate that better benchmark datasets would be welcome, and the use of additional evaluation measures\u2014more sensitive in recall\u2014is recommended.<\/jats:p>","DOI":"10.1145\/3125620","type":"journal-article","created":{"date-parts":[[2017,9,29]],"date-time":"2017-09-29T12:44:38Z","timestamp":1506689078000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Suggesting Points-of-Interest via Content-Based, Collaborative, and Hybrid Fusion Methods in\u00a0Mobile\u00a0Devices"],"prefix":"10.1145","volume":"36","author":[{"given":"Avi","family":"Arampatzis","sequence":"first","affiliation":[{"name":"Democritus University of Thrace, Xanthi, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georgios","family":"Kalamatianos","sequence":"additional","affiliation":[{"name":"Democritus University of Thrace, Xanthi, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,9,29]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3_7"},{"key":"e_1_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ARES.2008.193"},{"key":"e_1_2_2_3_1","volume-title":"Anastasia Giachanou, and Fabio Crestani.","author":"Aliannejadi Mohammad","year":"2015","unstructured":"Mohammad Aliannejadi , Seyed Ali Bahrainian , Anastasia Giachanou, and Fabio Crestani. 2015 . 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