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Then, it establishes the location-aware transfer matrix so as to get the next most similar service. Furthermore, it integrates the generated LHMM, user's score and interest migration into the traditional CF algorithm so as to generate a final recommendation list. The LHMM-based CF algorithm mixes the geographic factors and personalized behavior and experimental results show that it outperforms the state-of-the-art algorithms on both precision and recall.<\/p>","DOI":"10.4018\/ijwsr.2017040103","type":"journal-article","created":{"date-parts":[[2017,4,18]],"date-time":"2017-04-18T10:43:23Z","timestamp":1492512203000},"page":"45-66","source":"Crossref","is-referenced-by-count":25,"title":["A Location-Context Awareness Mobile Services Collaborative Recommendation Algorithm Based on User Behavior Prediction"],"prefix":"10.4018","volume":"14","author":[{"given":"Mingjun","family":"Xin","sequence":"first","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanhui","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shunxiang","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liyuan","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weimin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"issue":"6","key":"IJWSR.2017040103-0","first-page":"1103","article-title":"Part C: Attribute-driven hidden markov model trees for intention prediction.","volume":"42","author":"L.Antwarg","year":"2012","journal-title":"IEEE Transactions on"},{"key":"IJWSR.2017040103-1","unstructured":"Blasiak, S., & Rangwala, H. 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