Sort by:

• Highly Influential Citations
• Citations
• Acceleration
• Velocity
• Recency

Learn More

A Cross-Platform Collection for Contextual Suggestion

• Mohammad Aliannejadi, Ida Mele, Fabio Crestani
• SIGIR
• 2017

Suggesting personalized venues helps users to find interesting places on location-based social networks (LBSNs). Although there are many LBSNs online, none of them is known to have thorough… (More)

Venue Suggestion Using Social-Centric Scores

• Mohammad Aliannejadi, Fabio Crestani
• ArXiv
• 2018

User modeling is a very important task for making relevant suggestions of venues to the users. These suggestions are often based on matching the venues’ features with the users’ preferences, which… (More)

User Model Enrichment for Venue Recommendation

• Mohammad Aliannejadi, Ida Mele, Fabio Crestani
• AIRS
• 2016

University of Lugano at TREC 2015: Contextual Suggestion and Temporal Summarization Tracks

• Mohammad Aliannejadi, Seyed Ali Bahrainian, Anastasia Giahanou, Fabio Crestani
• TREC
• 2015

This technical report presents the work of the University of Lugano at TREC 2015 Contextual Suggestion and Temporal Summarization tracks. The first track that we report on, is the Contextual… (More)

Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs

• Mohammad Aliannejadi, Dimitrios Rafailidis, Fabio Crestani
• ECIR
• 2017

Personalized venue suggestion plays a crucial role in satisfying the users needs on location-based social networks (LBSNs). In this study, we present a probabilistic generative model to map user tags… (More)

Venue Appropriateness Prediction for Contextual Suggestion

• Mohammad Aliannejadi, Ida Mele, Fabio Crestani
• TREC
• 2016

Œis technical report presents the work of Università della Svizzera italiana (USI) at TREC 2016 Contextual Suggestion track. Œe goal of the Contextual Suggestion track is to develop systems that… (More)

Venue Appropriateness Prediction for Personalized Context-Aware Venue Suggestion

• Mohammad Aliannejadi, Fabio Crestani
• SIGIR
• 2017

Personalized context-aware venue suggestion plays a critical role in satisfying the users' needs on location-based social networks (LBSNs). In this paper, we present a set of novel scores to measure… (More)

Personalized ranking for context-aware venue suggestion

• Mohammad Aliannejadi, Ida Mele, Fabio Crestani
• SAC
• 2017

Making personalized and context-aware suggestions of venues to the users is very crucial in venue recommendation. These suggestions are often based on matching venues' features with users'… (More)

Graph-Based Semi-Supervised Conditional Random Fields For Spoken Language Understanding Using Unaligned Data

• Mohammad Aliannejadi, Masoud Kiaeeha, Shahram Khadivi, Saeed Shiry Ghidary
• ALTA
• 2014

We experiment graph-based SemiSupervised Learning (SSL) of Conditional Random Fields (CRF) for the application of Spoken Language Understanding (SLU) on unaligned data. The aligned labels for… (More)

Personalized Context-Aware Point of Interest Recommendation

• Mohammad Aliannejadi, Fabio Crestani
• ArXiv
• 2018

Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users on Location-Based Social Networks (LBSNs). In this paper, we propose a probabilistic model to find the… (More)

• ‹
• 1
• 2
• ›