RecSys Challenge 2014

The program

The RecSys Challenge workshop took place in the Syracuse room on Friday October 10th. The proceedings (including all papers as presented below) are available on the ACM Digital Library.

Schedule

Time Title Authors
9:00-9:15 Welcome (slides)
Presentation Simon
The Organizers
9:15-9:30 An Analysis of the 2014 RecSys Challenge (slides)
Presentation Roberto
Daniele Loiacono, Andreas Lommatzsch, Roberto Turrin
9:30-9:45 Team QUTrs: Utilizing Voting Systems for Ranking User Tweets Ahmad Abdel-Hafaz, Quoc Viet Phung, Yue Xu
9:45-10:00 Team PILOTS: A Two Step Ranking Solution for Twitter User Engagement (slides)
Presentation Behnoush
Behnoush Abdollahi, Mahsa Badami, Gopi Chand Nutakki, Olfa Nasraoui, Wenlong Sun
10:00-10:15 Team UT-IIS: Regression and Learning to Rank Aggregation for User Engagement Evaluation Hamed Zamani, Azadeh Shakery, Pooya Moradi
10:15-10:30 Team BenHuns: RecSys Challenge 2014: An Ensemble of Binary Classifiers and Matrix Factorization (slides)
Presentation Róbert
Róbert Pálovics, Andras A. Benczur, Frederick Ayala-Gómez, Levente Kocsis, Bálint Daróczy, Balázs Csikota, Dominic Spadacene
10:30-11:00 Coffee break
11:00-11:15 Team Inria Sequel: User Engagement as Evaluation: A Ranking or a Regression Problem (slides)
Presentation Frédéric
Frédéric Guillou, Romaric Gaudel, Jérémie Mary, Philippe Preux
11:15-11:30 Team The Crone: Ranking approach to RecSys Challenge Pallavi Singh, Gyanit Singh, Anurag Bhardwaj
11:30-12:15 Poster Session
12:15-12:30 Discussion and Closing remarks

Posters

Posters will also be presented during the coffee break.

Title Authors
Team SUD: Predicting User Engagement in Twitter with Collaborative Ranking (poster)
Poster Ernesto
Ernesto Diaz-Aviles, Hoang Thanh Lam, Fabio Pinelli, Stefano Braghin, Yiannis Gkoufas, Michele Berlingerio, Francesco Calabrese
Team UCD: Exploring Tweet Engagement in the RecSys 2014 Data Challenge (poster)
Poster Jacek
Jacek Wasilewski, Neil Hurley
Team TIPS: A Recommender System for Predicting User Engagement in Twitter (poster)
Poster Jonathas
Jonathas Magalhães, Rubens Pessoa, Cleyton Souza, Evandro Costa, Joseana Fechine
Team Pilgrims: Recommender System Based on Modularity (poster)
Poster Ing
Maria Sibaldo, Tiago de Carvalho, Ing Ren Tsang, George Cavalcanti
Team IITM: How Popular are Your Tweets?
Poster Avijit
Avijit Saha, Shubhranshu Shekhar, Janarthanan R and Balaraman Ravindran
Team Punam's Five: Online Tweet Recommendation Using Extreme Learning Machine
Punam Bedi, Sumit Agarwal, Pooja Vashisth, Samarth Sharma, Tushar Aggarwa. Arun Gupta
Team SemWexMFF: Hybrid Biased k-NN to Predict Movie Tweets Popularity (poster) (paper)
Poster Ladislav
Ladislav Peska, Peter Vojtas