Development of a hybrid recommendation approach based on item content and user social influence

A Hybrid Recommendation Method Integrating the Social Trust Network and Local Social Influence of Users

Electronics ◽

10.3390/electronics9091496 ◽

2020 ◽

Vol 9 (9) ◽

pp. 1496

Author(s):

Lilei Lu ◽

Yuyu Yuan ◽

Xu Chen ◽

Zhaohui Li

Keyword(s):

Social Influence ◽

Recommendation System ◽

Social Trust ◽

Extreme Values ◽

Pearson Correlation ◽

Trust Network ◽

Direct Trust ◽

Similarity Threshold ◽

The Social ◽

Hybrid Recommendation

Recommendation system plays an indispensable role in helping users make decisions in different application scenarios. The issue about how to improve the accuracy of a recommendation system has gained widespread concern in both academic and industry fields. To solve this problem, many models have been proposed, but most of them usually focus on a single perspective. Different from the existing work, we propose a hybrid recommendation method based on the users’ social trust network in this study. The proposed method has several advantages over conventional recommendation solutions. First, it offers a reliable two-step way of determining reference users by employing direct trust between users in the social trust network and setting a similarity threshold. Second, it improves the traditional collaborative filtering (CF) method based on a Pearson Correlation Coefficient (PCC) to reduce extreme values in prediction. Third, it introduces a personalized local social influence (LSI) factor into the improved CF method to further enhance the prediction accuracy. Seventy-one groups of random experiments based on the real dataset Epinions in social networks verify the proposed method. The experimental results demonstrate its feasibility, effectiveness, and accuracy in improving recommendation performance.

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Language Test Content

Language Speech and Hearing Services in Schools ◽

10.1044/0161-1461.1401.07 ◽

1983 ◽

Vol 14 (1) ◽

pp. 7-21 ◽

Cited By ~ 1

Author(s):

Robert E. Owens ◽

Martha J. Haney ◽

Virginia E. Giesow ◽

Lisa F. Dooley ◽

Richard J. Kelly

Keyword(s):

Test Item ◽

Language Assessment ◽

Assessment Tools ◽

Language Test ◽

Speech Language Pathologists ◽

Diagnostic Aid ◽

Item Content

This paper examines the test item content of several language assessment tools. A comparison of test breadth and depth is presented. The resultant information provides a diagnostic aid for school speech-language pathologists.

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