15 citations · 19 across the 3 of their papers we have counts for
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cs.IR2018
Online Diverse Learning to Rank from Partial-Click Feedback
Prakhar Gupta, Gaurush Hiranandani, Harvineet Singh +3
Learning to rank is an important problem in machine learning and recommender systems. In a recommender system, a user is typically recommended a list of items. Since the user is un…
cs.IR2017★ 15 cited
Intent-Aware Contextual Recommendation System
Biswarup Bhattacharya, Iftikhar Burhanuddin, Abhilasha Sancheti +1
Recommender systems take inputs from user history, use an internal ranking algorithm to generate results and possibly optimize this ranking based on feedback. However, often the re…