کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
554776 873881 2011 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Collaborative user modeling for enhanced content filtering in recommender systems
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سیستم های اطلاعاتی
پیش نمایش صفحه اول مقاله
Collaborative user modeling for enhanced content filtering in recommender systems
چکیده انگلیسی

Recommender systems, which have emerged in response to the problem of information overload, provide users with recommendations of content suited to their needs. To provide proper recommendations to users, personalized recommender systems require accurate user models of characteristics, preferences and needs. In this study, we propose a collaborative approach to user modeling for enhancing personalized recommendations to users. Our approach first discovers useful and meaningful user patterns, and then enriches the personal model with collaboration from other similar users. In order to evaluate the performance of our approach, we compare experimental results with those of a probabilistic learning model, a user model based on collaborative filtering approaches, and a vector space model. We present experimental results that show how our model performs better than existing alternatives.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Decision Support Systems - Volume 51, Issue 4, November 2011, Pages 772–781
نویسندگان
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