3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.IR2021
Learning Complex Users' Preferences for Recommender Systems
Shahpar Yakhchi
Recommender systems (RSs) have emerged as very useful tools to help customers with their decision-making process, find items of their interest, and alleviate the information overlo…
cs.IR2020★ 3 cited
Enabling the Analysis of Personality Aspects in Recommender Systems
Shahpar Yakhchi, Amin Beheshti, Seyed Mohssen Ghafari +1
Existing Recommender Systems mainly focus on exploiting users' feedback, e.g., ratings, and reviews on common items to detect similar users. Thus, they might fail when there are no…