Vikas Kumar

3 Seguidores

I am currently a PhD Candidate at GroupLens Research working with Prof. Loren Terveen and Prof. Joe Konstan at University of Minnesota, Twin Cities. My area of research lies in understanding and modeling users' dynamic preferences exhibited through their online interaction in online media (preferably music). I explore novel recommendation techniques to develop more adaptive and real time system to handle dynamic user preferences in system. Keywords: Music Recommendation System, Machine Learning, Information Retrieval & Human Computer Interaction. I also work in area of Location Aware Recommendation Systems where I am trying to understand location as a property to improve recommendation...

recsys recommendation umap2017 location-aware tourists local vs tourists city photos survey locals geo-tagging movielens gravitational law tobler's law distant neighbors lars preferences users recsys2015 novelty music

Actividad
Acerca de

Vikas Kumar

Presentaciones

"I like to explore sometimes": Adapting to Dynamic User Novelty Preferences

"Where Far Can Be Close": Finding Distant Neighbors In Recommendation Systems

The Force Within Recommendation via Gravitational Attraction Between Items

Adaptive City Characteristics: How Location Familiarity Changes What is Regionally Descriptive