A Constrained Spreading Activation Approach to Collaborative Filtering

2006 ◽  
pp. 766-773 ◽  
Author(s):  
Josephine Griffith ◽  
Colm O’Riordan ◽  
Humphrey Sorensen
Keyword(s):  
Collaborative Filtering ◽  
Spreading Activation

scholarly journals IMPROVED COLLABORATIVE FILTERING ALGORITHM VIA INFORMATION TRANSFORMATION

2009 ◽  
Vol 20 (02) ◽  
pp. 285-293 ◽  
Author(s):  
JIAN-GUO LIU ◽  
BING-HONG WANG ◽  
QIANG GUO
Keyword(s):  
Computational Complexity ◽  
Collaborative Filtering ◽  
Free Parameter ◽  
Pearson Correlation ◽  
Spreading Activation ◽  
Spreading Process ◽  
Filtering Algorithm ◽  
Target User ◽  
Information Transformation ◽  
Collaborative Filtering Algorithm

In this paper, we propose a spreading activation approach for collaborative filtering (SA-CF). By using the opinion spreading process, the similarity between any users can be obtained. The algorithm has remarkably higher accuracy than the standard collaborative filtering using the Pearson correlation. Furthermore, we introduce a free parameter β to regulate the contributions of objects to user–user correlations. The numerical results indicate that decreasing the influence of popular objects can further improve the algorithmic accuracy and personality. We argue that a better algorithm should simultaneously require less computation and generate higher accuracy. Accordingly, we further propose an algorithm involving only the top-N similar neighbors for each target user, which has both less computational complexity and higher algorithmic accuracy.

Review of Integrating Marker Passing and Problem Solving: A Spreading Activation Approach to Improved Choice in Planning.

1989 ◽  
Vol 34 (5) ◽  
pp. 517-517
Author(s):  
No authorship indicated
Keyword(s):  
Problem Solving ◽  
Spreading Activation

Improved Collaborative Filtering Recommendation Algorithm Based on Weibo Content

2020 ◽  
Author(s):  
Juntao Xue ◽  
Ruohan Ma ◽  
Yunfeng Zhao ◽  
Junjie Hei
Keyword(s):  
Collaborative Filtering ◽  
Recommendation Algorithm

Collaborative Filtering for Creation of Recommendations on Base of Order Data

2018 ◽  
Vol 16 (2) ◽  
pp. 62-69
Author(s):  
A. A. Knyazeva ◽  
◽  
O. S. Kolobov ◽  
I. Yu. Turchanovsky ◽  
A. M. Fedotov ◽  
...  
Keyword(s):  
Collaborative Filtering
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