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recsys | ACM Conference on Recommender Systems (RecSys)

  • 主办方 / 出版社:ACM
  • 方向:推荐系统
  • CCF等级 / JCR分区:无类
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016.
注意,当前年度会议可能有其他论文集合,点击查看
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 Vuckovac, Alexander Ilic

Cross Domain Recommendation Using Vector Space Transfer Learning.

Masahiro Kazama, István Varga

Genre Prediction to Inform the Recommendation Process.

Nevena Dragovic, Maria Soledad Pera

An Entity Graph Based Recommender System.

Sneha Chaudhari, Amos Azaria, Tom M. 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 D. 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, András Serény, 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 Azpiazu, Maria Soledad Pera

Memory Priming and User Preferences.

Evangelia 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 D. Burke


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