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20172025
most citedAsking Clarifying Questions in Open-Domain Information-Seeking Conversations

202 citations · 626 across the 29 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.IR2019

A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation

Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani

The popularity of location-based social networks (LBSNs) has led to a tremendous amount of user check-in data. Recommending points of interest (POIs) plays a key role in satisfying…

cs.IR2019

LGLMF: Local Geographical based Logistic Matrix Factorization Model for POI Recommendation

Hossein A. Rahmani, Mohammad Aliannejadi, Sajad Ahmadian +3

With the rapid growth of Location-Based Social Networks, personalized Points of Interest (POIs) recommendation has become a critical task to help users explore their surroundings.…

cs.CL2019★ 202 cited

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani +1

Users often fail to formulate their complex information needs in a single query. As a consequence, they may need to scan multiple result pages or reformulate their queries, which m…

cs.IR2019

ANTIQUE: A Non-Factoid Question Answering Benchmark

Helia Hashemi, Mohammad Aliannejadi, Hamed Zamani +1

Considering the widespread use of mobile and voice search, answer passage retrieval for non-factoid questions plays a critical role in modern information retrieval systems. Despite…

cs.IR2019★ 27 cited

Understanding Mobile Search Task Relevance and User Behaviour in Context

Mohammad Aliannejadi, Morgan Harvey, Luca Costa +2

Improvements in mobile technologies have led to a dramatic change in how and when people access and use information, and is having a profound impact on how users address their dail…