An SVM-based collaborative filtering approach for Top-N web services recommendation

2018 ◽  
Vol 78 ◽  
pp. 531-543 ◽  
Author(s):  
Lifang Ren ◽  
Wenjian Wang
Keyword(s):  
Web Services ◽  
Collaborative Filtering ◽  
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.

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