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cs.IR2025
A Survey of Affective Recommender Systems: Modeling Attitudes, Emotions, and Moods for Personalization
Tonmoy Hasan, Razvan Bunescu
Affective Recommender Systems are an emerging class of intelligent systems that aim to enhance personalization by aligning recommendations with users' affective states. Reflecting…
cs.IR2025
Engineering Serendipity through Recommendations of Items with Atypical Aspects
Ramit Aditya, Razvan Bunescu, Smita Nannaware +1
A restaurant dinner or a hotel stay may lead to memorable experiences when guests encounter unexpected aspects that also match their interests. For example, an origami-making stati…
cs.IR2025
A Text-Based Recommender System that Leverages Explicit Affective State Preferences
Tonmoy Hasan, Razvan Bunescu
The affective attitude of liking a recommended item reflects just one category in a wide spectrum of affective phenomena that also includes emotions such as entranced or intrigued,…