Poster-RecSys 2016
Poster Proceedings of ACM RecSys 2016

Table of Contents

• Preface
  
  

• MoocRec.com : Massive Open Online Courses Recommender System
  Panagiotis Symeonidis , Dimitrios Malakoudis
  
• Recommendation from Intransitive Pairwise Comparisons
  Elja Arjas , Arnoldo Frigessi , Valeria Vitelli , Marta Crispino
  
• A Secure Shopping Experience Based on Blockchain and Beacon Technology
  Remo Manuel Frey , Denis Vučkovac , Alexander Ilic
  
• Cross Domain Recommendation Using Vector Space Transfer Learning
  Masahiro Kazama , Istvan Varga
  
• Genre Prediction to Inform the Recommendation Process
  Nevena Dragovic , Maria Soledad Pera
  
• An Entity Graph Based Recommender System
  Sneha Chaudhari , Amos Azaria , Tom Mitchell
  
• Explicit Elimination of Similarity Blocking for Session-based Recommendation
  Mattia Brusamento , Roberto Pagano , Martha Larson , Paolo Cremonesi
  
• Modelling Session Activity with Neural Embedding
  Oren Barkan , Yael Brumer , Noam Koenigstein
  
• Detecting Trending Venues Using Foursquare’s Data
  Stephanie Yang , Max Sklar
  
• How to Survive Dynamic Pricing Competition in E-commerce
  Rainer Schlosser , Martin Boissier , Andre Schober , Matthias Uflacker
  
• Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks
  Fatemeh Vahedian , Robin Burke , Bamshad Mobasher
  
• rrecsys: An R-package for Prototyping Recommendation Algorithms
  Ludovik Çoba , Markus Zanker
  
• Item2vec: Neural Item Embedding for Collaborative Filtering
  Oren Barkan , Noam Koenigstein
  
• Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms
  Mario Scriminaci , Andreas Lommatzsch , Benjamin Kille , Frank Hopfgartner , Martha Larson , Davide Malagoli , Andras Sereny , Till Plumbaum
  
• Tip Ranker: A M.L. Approach to Ranking Short Reviews
  Enrique Cruz , Berk Kapicioglu
  
• Deep Auto-Encoding for Context-Aware Inference of Preferred Items’ Categories
  Moshe Unger , Bracha Shapira , Lior Rokach , Ariel Bar
  
• Music Playlist Recommendation via Preference Embedding
  Chih-Ming Chen , Chun-Yao Yang , Chih-Chun Hsia , Yian Chen , Ming-Feng Tsai
  
• Dish Discovery via Word Embeddings on Restaurant Reviews
  Chih-Yu Chao , Yi-Fan Chu , Yi Ho , Chuan-Ju Wang , Ming-Feng Tsai
  
• Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs
  Joseph Jay Williams , Luong Hoang
  
• Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags
  Tim Donkers , Benedikt Loepp , Jürgen Ziegler
  
• Is Readability a Valuable Signal for Hashtag Recommendations?
  Ion Madrazo , Maria Soledad Pera
  
• Memory Priming and User Preferences
  Evagelia Anagnostopoulou , Efthimios Bothos , Babis Magoutas , Gregoris Mentzas
  
• Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence
  Ludovico Boratto , Salvatore Carta , Gianni Fenu , Roberto Saia
  
• User Segmentation for Controlling Recommendation Diversity
  Farzad Eskandanian , Bamshad Mobasher , Robin Burke