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20172022
most citedQuery Resolution for Conversational Search with Limited Supervision

111 citations · 427 across the 26 of their papers we have counts for

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21 papers · 1 filter

cs.IR202218 cited

Analysing the Robustness of Dual Encoders for Dense Retrieval Against Misspellings

Georgios Sidiropoulos, Evangelos Kanoulas

Dense retrieval is becoming one of the standard approaches for document and passage ranking. The dual-encoder architecture is widely adopted for scoring question-passage pairs due…

cs.IR202215 cited

Zero-shot Query Contextualization for Conversational Search

Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas

Current conversational passage retrieval systems cast conversational search into ad-hoc search by using an intermediate query resolution step that places the user's question in con…

cs.IR20222 cited

Towards Building Economic Models of Conversational Search

Leif Azzopardi, Mohammad Aliannejadi, Evangelos Kanoulas

Various conceptual and descriptive models of conversational search have been proposed in the literature -- while useful, they do not provide insights into how interaction between t…

cs.IR2021

Controllable Recommenders using Deep Generative Models and Disentanglement

Samarth Bhargav, Evangelos Kanoulas

In this paper, we consider controllability as a means to satisfy dynamic preferences of users, enabling them to control recommendations such that their current preference is met. W…

cs.IR202129 cited

Analysing Mixed Initiatives and Search Strategies during Conversational Search

Mohammad Aliannejadi, Leif Azzopardi, Hamed Zamani +3

Information seeking conversations between users and Conversational Search Agents (CSAs) consist of multiple turns of interaction. While users initiate a search session, ideally a C…

cs.IR202148 cited

Cross-Market Product Recommendation

Hamed Bonab, Mohammad Aliannejadi, Ali Vardasbi +2

We study the problem of recommending relevant products to users in relatively resource-scarce markets by leveraging data from similar, richer in resource auxiliary markets. We hypo…