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Then, we introduce the existing approaches to exploit contextual information for modeling mobile recommendations. Furthermore, we summarize several existing recommendation tasks in the mobile scenarios, such as the recommendations in the tourism domain. Finally, we discuss some key issues that are still critical in the field of context-aware mobile recommendations, including the privacy problem, the energy efficiency issues, and the design of user interfaces. <\/jats:p>","DOI":"10.1142\/s0219622013500077","type":"journal-article","created":{"date-parts":[[2013,3,6]],"date-time":"2013-03-06T22:22:43Z","timestamp":1362608563000},"page":"139-172","source":"Crossref","is-referenced-by-count":77,"title":["A SURVEY OF CONTEXT-AWARE MOBILE RECOMMENDATIONS"],"prefix":"10.1142","volume":"12","author":[{"given":"QI","family":"LIU","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, University of Science and Technology of China, No.96, JinZhai Road Baohe District, Hefei, Anhui, 230026, P. R. 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