Fuzzy Collaborative Filtering Approach Based on Semantic Distance

2009 ◽  
pp. 187-195 ◽  
Author(s):  
Jun-huai Li ◽  
Xue-song Li ◽  
Hai-ling Liu ◽  
Xi-jie Han ◽  
Jing Zhang
Keyword(s):  
Collaborative Filtering ◽  
Semantic Distance ◽  
Filtering Approach

IDENTIFYING USER AND GROUP INFORMATION FROM COLLABORATIVE FILTERING DATASETS

2007 ◽  
Vol 21 (02) ◽  
pp. 291-310
Author(s):  
JOSEPHINE GRIFFITH ◽  
COLM O'RIORDAN ◽  
HUMPHREY SORENSEN
Keyword(s):  
Collaborative Filtering ◽  
User Model ◽  
Group Information ◽  
Feature Values ◽  
Filtering Approach

This paper considers the information that can be captured about users and groups from a collaborative filtering dataset. The aims of the paper are to create a user model and to use this model to explain the performance of a collaborative filtering approach. A number of user and group features are defined and the performance of a collaborative filtering system in producing recommendations for users with different feature values is tested. Graph-based representations of the collaborative filtering space are presented and these are used to define some of the user and group features as well as being used in a recommendation task.

EACoupledCF: An Enhanced Attention-based Coupled Collaborative Filtering Approach for Recommendation

2021 ◽  
Author(s):  
Feng Zhang ◽  
Xiangfu Meng ◽  
Ruimin Chai ◽  
Quangui Zhang
Keyword(s):  
Collaborative Filtering ◽  
Filtering Approach
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