recsys 2016 论文列表
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), Boston, USA, September 17, 2016.
|
User Segmentation for Controlling Recommendation Diversity.
Representing Items as Word-Embedding Vectors and Generating Recommendations by Measuring their Linear Independence.
Memory Priming and User Preferences.
Is Readability a Valuable Signal for Hashtag Recommendations?
Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags.
Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs.
Dish Discovery via Word Embeddings on Restaurant Reviews.
Music Playlist Recommendation via Preference Embedding.
Deep Auto-Encoding for Context-Aware Inference of Preferred Items' Categories.
Tip Ranker: A M.L. Approach to Ranking Short Reviews.
Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms.
Item2vec: Neural Item Embedding for Collaborative Filtering.
rrecsys: An R-package for Prototyping Recommendation Algorithms.
Weighted Random Walks for Meta-Path Expansion in Heterogeneous Networks.
How to Survive Dynamic Pricing Competition in E-commerce.
Detecting Trending Venues Using Foursquare's Data.
Modelling Session Activity with Neural Embedding.
Explicit Elimination of Similarity Blocking for Session-based Recommendation.
An Entity Graph Based Recommender System.
Genre Prediction to Inform the Recommendation Process.
Cross Domain Recommendation Using Vector Space Transfer Learning.
A Secure Shopping Experience Based on Blockchain and Beacon Technology.
Recommendation from Intransitive Pairwise Comparisons.
MoocRec.com : Massive Open Online Courses Recommender System.
