312 citations · 314 across the 4 of their papers we have counts for
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cs.IR2017
Ephemeral Context to Support Robust and Diverse Music Recommendations
Pavel Kucherbaev, Nava Tintarev, Carlos Rodriguez
While prior work on context-based music recommendation focused on fixed set of contexts (e.g. walking, driving, jogging), we propose to use multiple sensors and external data sourc…
cs.SI2017
Chatbots as Conversational Recommender Systems in Urban Contexts
Pavel Kucherbaev, Achilleas Psyllidis, Alessandro Bozzon
In this paper, we outline the vision of chatbots that facilitate the interaction between citizens and policy-makers at the city scale. We report the results of a co-design session…