%0 Journal Article %T Similarity Algorithm Based on User''s Common Neighbors and Grade Information
一种结合共同邻居和用户评分信息的相似度算法 %A HE Yin-hui %A CHEN Duan-bing %A CHEN Yong %A FU Yan %A
贺银慧 %A 陈端兵 %A 陈勇 %A 傅彦 %J 计算机科学 %D 2010 %I %X With the rapid growth of Internet, recommender systems have been used in many fields, and collaborative filtering(CF) is one of the earliest and the most successful ones. CF method usually identifies the neighborhood of each user based on similarity between two users; then predicts items' rating by integrating ratings of target user's neighbors, and lastly those items with higher predicted score are recommended to target user. So similarity plays an important role and affects the accuracy of the prediction. Up to now, various similarity measures have been proposed by rescarchers from different aspect. And common-neighbor algorithm is a simple and efficient method. However, common-ncighbor algorithm just considers the number of common objects scored by two users,doesn't consider the user's grade information. In this paper, an improved algorithm based on common-neighbor and user's grade information was proposed.Experimental results indicate that improved common-neighbor algorithm can obtain rather good predicting results. %K Collaborative filtering %K Common-neighbors %K Similarity algorithm %K Grade information
协同过滤 %K 共同邻居 %K 相似度算法 %K 评分信息 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=20449F47E92601F738A760DA20B01E12&yid=140ECF96957D60B2&vid=42425781F0B1C26E&iid=9CF7A0430CBB2DFD&sid=798FBE8DE1A255B1&eid=50BBDFAC8381694B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10