التفاصيل البيبلوغرافية
| العنوان: |
The Collaborative Filtering Method Using Particle Swarm Optimization |
| المؤلفون: |
Phương*, N. T. (Nguyễn) |
| المصدر: |
The University of Danang - Journal of Science and Technology |
| بيانات النشر: |
University of Da Nang |
| سنة النشر: |
2019 |
| المجموعة: |
neliti (Indonesia's Think Tank Database) |
| مصطلحات موضوعية: |
Lý thuyết bầy đàn, tư vấn lọc cộng tác, ma trận xếp hạng, ma trận tương đồng, ma trận tương đồng kết hợp, Indonesia, Particle Swarm Optimization, collaborative filtering recommender system, rating matrix, similarity matrix, integrated similarity matrix |
| الوصف: |
In this paper, we propose a method in order to improve the traditional recommender system – a feature weighting method for both item-based collaborative filtering and user-based collaborative filtering recommender system. In traditional collaborative filtering, the recommendation results are just based on the similar nearest neighbor measure to predict unknown values in evaluation matrix. In this proposed method, the recommendation result is built by the combination of similarity features in the same cluster and weighting which show the extent of importance of each feature to predict the unknow values in evaluaion matrix. Through experiments on MovieLens 100k dataset, it shows that the results of our recommender method is better than those by the traditional method. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
Indonesian |
| Relation: |
https://www.neliti.com/publications/449057/the-collaborative-filtering-method-using-particle-swarm-optimization |
| الاتاحة: |
https://www.neliti.com/publications/449057/the-collaborative-filtering-method-using-particle-swarm-optimization |
| Rights: |
(c) The University of Danang - Journal of Science and Technology, 2019 |
| رقم الانضمام: |
edsbas.6978314C |
| قاعدة البيانات: |
BASE |