A Greedy Algorithm for k-Member Co-clustering and its Applicability to Collaborative Filtering
نویسندگان
چکیده
منابع مشابه
FCM-type Cluster Validation in Fuzzy Co-Clustering and Collaborative Filtering Applicability
FCM-type cluster validation is a technique for searching for the optimal fuzzy partition, in which the number of clusters is evaluated by considering the degree of overlapping of fuzzy memberships, cluster compactness or cluster separation. In this paper, a new approach for FCM-type cluster validation in fuzzy co-clustering is proposed. Because fuzzy co-clustering does not use cluster prototype...
متن کاملFuzzy Co-Clustering and Application to Collaborative Filtering
Cooccurrence information analysis became more popular in many web-based system analyses such as document analysis or purchase history analysis. Rather than the conventional multivariate observations, each object is characterized by its cooccurrence degrees with various items, and the goal is often to extract co-cluster structures among objects and items, such that mutually familiar object-item ...
متن کاملA Clustering Algorithm Solution to the Collaborative Filtering
91 A Clustering Algorithm Solution to the Collaborative Filtering Yongli Yang 1, , Fei Xue 2, , Yongquan Cai 1, c Zhenhu Ning 1, d,* and Haifeng Liu 3, e Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China; School of Information, Beijing Wuzi University, Beijing 101149, China; Science and Technology on Information Systems, Engineering Laboratory, Beijing I...
متن کاملExclusive Partition in FCM-type Co-clustering and Its Application to Collaborative Filtering
The task of collaborative filtering has close relation to coclustering, in which personalized recommendation is achieved by connecting users with items to be preferred. FCM-type coclustering extracts user-item co-clusters, in which users are assigned to clusters in an exclusive manner while item partitions are not necessarily exclusive and each item can be shared (rejected) by multiple (all) cl...
متن کاملClustering and Correlation based Collaborative Filtering Algorithm for Cloud Platform
With the development of the Internet, recommender systems have played a more and more important role in the field of big data processing, such as e-business. In order to deal with big data in recommender systems, we propose a clustering and correlation based collaborative filtering algorithm for cloud platform, which improves the traditional user-based collaborative filtering algorithm with k-m...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2013
ISSN: 1877-0509
DOI: 10.1016/j.procs.2013.09.126