کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6937815 | 1449889 | 2019 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
EARS: Emotion-aware recommender system based on hybrid information fusion
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: EARS: Emotion-aware recommender system based on hybrid information fusion EARS: Emotion-aware recommender system based on hybrid information fusion](/preview/png/6937815.png)
چکیده انگلیسی
Recommender systems suggest items that users might like according to their explicit and implicit feedback information, such as ratings, reviews, and clicks. However, most recommender systems focus mainly on the relationships between items and the user's final purchasing behavior while ignoring the user's emotional changes, which play an essential role in consumption activity. To address the challenge of improving the quality of recommender services, this paper proposes an emotion-aware recommender system based on hybrid information fusion in which three representative types of information are fused to comprehensively analyze the user's features: user rating data as explicit information, user social network data as implicit information and sentiment from user reviews as emotional information. The experimental results verify that the proposed approach provides a higher prediction rating and significantly increases the recommendation accuracy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Fusion - Volume 46, March 2019, Pages 141-146
Journal: Information Fusion - Volume 46, March 2019, Pages 141-146
نویسندگان
Yongfeng Qian, Yin Zhang, Xiao Ma, Han Yu, Limei Peng,