Rishabh Mehrotra

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I am a Research Scientist at Spotify Research, based in London. I obtained my PhD in ML & IR from UCL and am interested in teaching machines to better understand (& thereby model) users & their needs. My research interests lies at the intersection of Machine Learning, User Modelling & Personlization. My current PhD research focusses on developing efficient machine learning models for user tasks & need understanding, knowledge discovery and decision optimization. I collaborate on research related to Web Search & Information Retrieval.

machine learning artificial intelligence information retrieval web search user experience user engagement personalization london facebook user fairness search engines digital assistants

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Rishabh Mehrotra

Présentations

Search Tasks, Proactive Search & Digital Assistants

Characterizing Cross Domain Search Behavior

Fairness in Web Search: Auditing Search Engines for Differential Satisfaction

SIGIR 2017: Extracting Hierarchies of Search Tasks & Subtasks via a Bayesian Nonparametric Approach

Predicting Supply-side Engagement on Video Sharing Platforms

Facebook London - Learning from User Interactions

Parts 1 & 2: WWW 2018 Tutorial: Understanding User Needs & Tasks

Part 3: WWW 2018 tutorial on Understanding User Needs & Tasks

Part 4: WWW 2018 tutorial on Understanding User Needs & Tasks

Parts 5 & 6: WWW 2018 tutorial on Understanding User Needs & Tasks

J’aime

Auditing search engines for differential satisfaction across demographics