46 citations · 78 across the 15 of their papers we have counts for
5 papers · 1 filter
Accessibility in Information Retrieval
Leif Azzopardi, Vishwa Vinay
This paper introduces the concept of accessibility from the field of transportation planning and adopts it within the context of Information Retrieval (IR). An analogy is drawn bet…
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities
Vishwa Vinay, Manoj Kilaru, David Arbour
Search engines and recommendation systems attempt to continually improve the quality of the experience they afford to their users. Refining the ranker that produces the lists displ…
Curriculum Learning for Dense Retrieval Distillation
Hansi Zeng, Hamed Zamani, Vishwa Vinay
Recent work has shown that more effective dense retrieval models can be obtained by distilling ranking knowledge from an existing base re-ranking model. In this paper, we propose a…
Learning Colour Representations of Search Queries
Paridhi Maheshwari, Manoj Ghuhan, Vishwa Vinay
Image search engines rely on appropriately designed ranking features that capture various aspects of the content semantics as well as the historic popularity. In this work, we cons…
Using Image Captions and Multitask Learning for Recommending Query Reformulations
Gaurav Verma, Vishwa Vinay, Sahil Bansal +3
Interactive search sessions often contain multiple queries, where the user submits a reformulated version of the previous query in response to the original results. We aim to enhan…