32 citations · 32 across the 6 of their papers we have counts for
Showing cs.IRShow all
2 papers · 1 filter
cs.IR2025
Pairwise and Attribute-Aware Decision Tree-Based Preference Elicitation for Cold-Start Recommendation
Alireza Gharahighehi, Felipe Kenji Nakano, Xuehua Yang +2
Recommender systems (RSs) are intelligent filtering methods that suggest items to users based on their inferred preferences, derived from their interaction history on the platform.…
cs.IR2022
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering
Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
Recommender systems are information retrieval methods that predict user preferences to personalize services. These systems use the feedback and the ratings provided by users to mod…