activity
20182020
most citedMany-to-one Recurrent Neural Network for Session-based Recommendation

1 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

cs.LG20201 cited

Many-to-one Recurrent Neural Network for Session-based Recommendation

Amine Dadoun, Raphael Troncy

This paper presents the D2KLab team's approach to the RecSys Challenge 2019 which focuses on the task of recommending accommodations based on user sessions. What is the feeling of…

cs.LG2020

Two Stages Approach for Tweet Engagement Prediction

Amine Dadoun, Ismail Harrando, Pasquale Lisena +2

This paper describes the approach proposed by the D2KLab team for the 2020 RecSys Challenge on the task of predicting user engagement facing tweets. This approach relies on two dis…

cs.CL20191 cited

Searching News Articles Using an Event Knowledge Graph Leveraged by Wikidata

Charlotte Rudnik, Thibault Ehrhart, Olivier Ferret +3

News agencies produce thousands of multimedia stories describing events happening in the world that are either scheduled such as sports competitions, political summits and election…

cs.SI2018

Semantic Trails of City Explorations: How Do We Live a City

Diego Monti, Enrico Palumbo, Giuseppe Rizzo +3

The knowledge of city exploration trails of people is in short supply because of the complexity in defining meaningful trails representative of individual behaviours and in the acc…

cs.CL2018

The MeMAD Submission to the WMT18 Multimodal Translation Task

Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo +8

This paper describes the MeMAD project entry to the WMT Multimodal Machine Translation Shared Task. We propose adapting the Transformer neural machine translation (NMT) architectur…

cs.SI2018

Topical Community Detection in Event-based Social Network

Houda Khrouf, Raphaël Troncy

Event-based services have recently witnessed a rapid growth driving the way people explore and share information of interest. They host a huge amount of users' activities including…