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)  |
The Organizers |
| 9:15-9:30 | An Analysis of the 2014 RecSys Challenge (slides)  |
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)  |
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) |
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)  |
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)  |
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) |
Jacek Wasilewski, Neil Hurley |
Team TIPS: A Recommender System for Predicting User Engagement in Twitter (poster)  |
Jonathas Magalhães, Rubens Pessoa, Cleyton Souza, Evandro Costa, Joseana Fechine |
Team Pilgrims: Recommender System Based on Modularity (poster)  |
Maria Sibaldo, Tiago de Carvalho, Ing Ren Tsang, George Cavalcanti |
Team IITM: How Popular are Your Tweets?  |
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)  |
Ladislav Peska, Peter Vojtas |