Karim Abdul Hassan, A., Bahaa Aldeen Abdulwahhab, A. (2018). Proposed Collaborative Filtering Recommender System Based on Implicit and Explicit User's Preferences. , 59(2), 771-785.
Alia Karim Abdul Hassan; Ahmed Bahaa Aldeen Abdulwahhab. "Proposed Collaborative Filtering Recommender System Based on Implicit and Explicit User's Preferences". , 59, 2, 2018, 771-785.
Karim Abdul Hassan, A., Bahaa Aldeen Abdulwahhab, A. (2018). 'Proposed Collaborative Filtering Recommender System Based on Implicit and Explicit User's Preferences', , 59(2), pp. 771-785.
Karim Abdul Hassan, A., Bahaa Aldeen Abdulwahhab, A. Proposed Collaborative Filtering Recommender System Based on Implicit and Explicit User's Preferences. , 2018; 59(2): 771-785.

Proposed Collaborative Filtering Recommender System Based on Implicit and Explicit User's Preferences

Iraqi Journal of Science
Article 1, Volume 59, Issue 2, 2018, Pages 771-785
Authors
Alia Karim Abdul Hassan; Ahmed Bahaa Aldeen Abdulwahhab
Abstract
The expansion of web applications like e-commerce and other services yields an exponential increase in offers and choices in the web. From these needs, the recommender system applications have arisen. This research proposed a recommender system that uses user's reviews as implicit feedback to extract user preferences from their reviews to enhance personalization in addition to the explicit ratings. Diversity also improved by using k-furthest neighbor algorithm upon user's clusters. The system tested using Douban movie standard dataset from Kaggle, and show good performance.
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