Calculating trust by considering user similarity and social trust for recommendation systems
| Autor: | Sunantha Sodsee, Thanaphon Phukseng |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Social network
business.industry Computer science Mean absolute error Information technology 02 engineering and technology Recommender system computer.software_genre Electronic mail Similarity (network science) 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing The Internet Data mining business computer Social trust |
| Zdroj: | ISKE |
| DOI: | 10.1109/iske.2017.8258748 |
| Popis: | This research presents a trust assigning method for recommendation systems by considering a user similarity and social trust. Herein, the proposed method consists of three main processes, namely trust calculation, neighbor filtering, and items rating prediction. To evaluate, the FilmTrust dataset was used to verify its prediction performance. The results shown that the significant measures, such as the mean absolute error (MAE) and percentage of accuracy, they were around 0.197 and 80% with a trust walk in a social network, λ = 5, respectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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