202 citations · 502 across the 21 of their papers we have counts for
6 papers · 1 filter
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…
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.…
Category-Aware Location Embedding for Point-of-Interest Recommendation
Hossein A. Rahmani, Mohammad Aliannejadi, Rasoul Mirzaei Zadeh +3
Recently, Point of interest (POI) recommendation has gained ever-increasing importance in various Location-Based Social Networks (LBSNs). With the recent advances of neural models,…
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…
Mobile Information Retrieval
Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
Mobile Information Retrieval (Mobile IR) is a relatively recent branch of Information Retrieval (IR) that is concerned with enabling users to carry out, using a mobile device, all…
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…