کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4943071 1437623 2017 31 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
VRer: Context-Based Venue Recommendation using embedded space ranking SVM in location-based social network
چکیده انگلیسی
In this paper, we cast the venue recommendation as a ranking problem and propose a recommendation framework named VRer (Context-Based Venue Recommendation using embedded space ranking SVM) employing an embedded space ranking SVM model to separate the venues in terms of different characteristics. Our proposed approach makes use of 'check-in' data to capture users' preferences and utilizes a machine learning model to tune the importance of different factors in ranking. The major contribution of this paper are: (1) VRer combines various contexts (e.g., the temporal influence and the category of locations) with the check-in records to capture individual heterogeneous preferences; (2) we propose an embedded space ranking SVM optimizing the learning function to reduce the time consumption of training the personalized recommendation model for each group or user; (3) we evaluate our proposed approach against a real world LBSN and compare it with other baseline methods. Experimental results demonstrate the benefits of our proposed approach.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 83, 15 October 2017, Pages 18-29
نویسندگان
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