Finding Domain-based Expert for Improving Collaborative Filtering Algorithm

سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 552

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

این مقاله در بخشهای موضوعی زیر دسته بندی شده است:

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_ACSIJ-4-2_013

تاریخ نمایه سازی: 7 آذر 1394

چکیده مقاله:

Traditional neighborhood-based collaborative filtering algorithms are widely used in recommender system field for its accuracy, interpretability and operability. In this paper, weintroduce expert user model into collaborative filtering and determine authoritative expert users via expert finding methodsin large corpus. We propose a method to produce predications for target user. Instead of the similarity between normal users and target user, we determine target user’s neighborhood basedon the similarity be-tween expert users and target user. Experiments on Amazon datasets show that our method hasbetter performance than neighbor-hood-based collaborative filtering on recommendation accuracy, novelty and calculationefficiency.

نویسندگان

guo wu

Key Laboratory of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University Shenzhen, Guangdong Province, China

yujiu yang

Key Laboratory of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University Shenzhen, Guangdong Province, China

Wenhuang liu

Key Laboratory of Broadband Network and Multimedia, Graduate School at Shenzhen, Tsinghua University Shenzhen, Guangdong Province, China