Poster-RecSys 2015
Poster Proceedings of ACM RecSys 2015

Poster Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015)

Vienna, Austria, September 16, 2015.

Edited by

Pablo Castells

Universidad Autónoma de Madrid, Spain

Table of Contents

  1. A Recommendation-Based Book-Exchange System Without Using Wish Lists
    Maria Soledad Pera, Yiu-Kai Ng
  2. Analysing Compression Techniques for In-Memory Collaborative Filtering
    Saúl Vargas, Craig Macdonald, Iadh Ounis
  3. Analysis of User-generated Content for Improving YouTube Video Recommendation
    Michele Galli, Davide Feltoni Gurini, Fabio Gasparetti, Alessandro Micarelli, Giuseppe Sansonetti
  4. Comparing Offline and Online Recommender System Evaluations on Long-tail Distributions
    Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza, Adilson Cunha
  5. Do You Have a Pop Face? Here is a Pop Song. Using Profile Pictures to Mitigate the Cold-start Problem in Music Recommender Systems
    Eugenio Tacchini, Ramon Morros, Veronica Vilaplana, Enrique Sañoso
  6. Exploiting Latent Social Listening Representations for Music Recommendations
    Chih-Ming Chen, Po-Chuan Chien, Yu-Ching Lin, Ming-Feng Tsai, Yi-Hsuan Yang
  7. Exploiting Reviews to Guide Users' Selections
    Nevena Dragovic, Maria Soledad Pera
  8. How to Interpret Implicit User Feedback?
    Ladislav Peska, Peter Vojtas
  9. Image Discovery and Insertion for Custom Publishing
    Lei Liu, Jerry Liu, Shanchan Wu
  10. Item Familiarity Effects in User-Centric Evaluations of Recommender Systems
    Dietmar Jannach, Lukas Lerche, Michael Jugovac
  11. Measuring the Concentration Reinforcement Bias of Recommender Systems
    Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos
  12. Merging Latent Factors and Tags to Increase Interactive Control of Recommendations
    Tim Donkers, Benedikt Loepp, Jürgen Ziegler
  13. 30Music Listening and Playlists Dataset
    Roberto Turrin, Massimo Quadrana, Andrea Condorelli, Roberto Pagano, Paolo Cremonesi
  14. Network-Based Extension of Multi-Relational Factorization Models
    Fatemeh Vahedian, Robin Burke, Bamshad Mobasher
  15. Next Basket Recommendation with Neural Networks
    Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng
  16. Personality-Based Recommendations: Evidence from Amazon.com
    Panagiotis Adamopoulos, Vilma Todri
  17. Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines
    Babak Loni, Martha Larson, Alexandros Karatzoglou, Alan Hanjalic
  18. Recommendations to Enhance Children Web Searches
    Shahrzad Karimi, Maria Soledad Pera
  19. Recommender Systems for Product Bundling
    Moran Beladev, Bracha Shapira, Lior Rokach
  20. Style Recommendation for Fashion Items using Heterogeneous Information Network
    Hanbit Lee, Sang-Goo Lee
  21. Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems
    Emanuel Lacic, Dominik Kowald, Matthias Traub, Granit Luzhnica, Joerg Simon, Elisabeth Lex
  22. Towards Improving Top-N Recommendation by Generalization of SLIM
    Santiago Larrain, Denis Parra, Alvaro Soto
  23. Word Embedding Techniques for Content-based Recommender Systems: An Empirical Evaluation
    Cataldo Musto, Giovanni Semeraro, Marco De Gemmis, Pasquale Lops

2015-09-07: submitted by Pablo Castells, metadata incl. bibliographic data published under Creative Commons CC0
2015-09-07: published on CEUR-WS.org |valid HTML5|