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cs.IR2026
Breaking the Information Silo: Semantic Personas for Cross-Domain Recommendation
Jonathan Mayo, Moshe Unger, Konstantin Bauman
Digital platforms increasingly operate as isolated information silos, limiting their ability to construct comprehensive user representations across domains. Cross-domain recommende…
cs.IR2022
The Long Tail of Context: Does it Exist and Matter?
Konstantin Bauman, Alexey Vasilev, Alexander Tuzhilin
Context has been an important topic in recommender systems over the past two decades. A standard representational approach to context assumes that contextual variables and their st…