activity
20202022
most citedLongformer for MS MARCO Document Re-ranking Task

5 citations · 13 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR20223 cited

Experiments on Generalizability of User-Oriented Fairness in Recommender Systems

Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan +1

Recent work in recommender systems mainly focuses on fairness in recommendations as an important aspect of measuring recommendations quality. A fairness-aware recommender system ai…

cs.IR20222 cited

Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation

Kosar Seyedhoseinzadeh, Hossein A. Rahmani, Mohsen Afsharchi +1

Recommender Systems (RSs) aim to model and predict the user preference while interacting with items, such as Points of Interest (POIs). These systems face several challenges, such…

cs.CL20213 cited

Keyword Extraction for Improved Document Retrieval in Conversational Search

Oleg Borisov, Mohammad Aliannejadi, Fabio Crestani

Recent research has shown that mixed-initiative conversational search, based on the interaction between users and computers to clarify and improve a query, provides enormous advant…

cs.HC2021

The Impact of User Demographics and Task Types on Cross-App Mobile Search

Mohammad Aliannejadi, Fabio Crestani, Theo Huibers +3

Recent developments in the mobile app industry have resulted in various types of mobile apps, each targeting a different need and a specific audience. Consequently, users access di…

cs.IR20205 cited

Longformer for MS MARCO Document Re-ranking Task

Ivan Sekulić, Amir Soleimani, Mohammad Aliannejadi +1

Two step document ranking, where the initial retrieval is done by a classical information retrieval method, followed by neural re-ranking model, is the new standard. The best perfo…

cs.IR2020

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation

Hossein A. Rahmani, Mohammad Aliannejadi, Mitra Baratchi +1

With the popularity of Location-based Social Networks, Point-of-Interest (POI) recommendation has become an important task, which learns the users' preferences and mobility pattern…