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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 11th ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 28, 2017.
Intent-Aware Diversification using Item-Based SubProfiles.

Mesut Kaya, Derek Bridge

Explainable Entity-based Recommendations with Knowledge Graphs.

Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen

WMRB: Learning to Rank in a Scalable Batch Training Approach.

Kuan Liu, Prem Natarajan

Explanation Chains: Recommendations by Explanation.

Arpit Rana, Derek Bridge

Multi Cross Domain Recommendation Using Item Embedding and Canonical Correlation Analysis.

Masahiro Kazama, István Varga

The Importance of Song Context in Music Playlists.

Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer, Paolo Cremonesi

Alpenglow: Open Source Recommender Framework with Time-aware Learning and Evaluation.

Erzsébet Frigó, Róbert Pálovics, Domokos Kelen, Levente Kocsis, András A. Benczúr

Towards a Recommender System for Undergraduate Research.

Felipe del-Rio, Denis Parra, Jovan Kuzmicic, Erick Svec

Recommender Systems in the Internet of Talking Things (IoTT).

Fedelucio Narducci, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro

SemRevRec: A Recommender System based on User Reviews and Linked Data.

Iacopo Vagliano, Diego Monti, Maurizio Morisio

How Diverse Is Your Audience? Exploring Consumer Diversity in Recommender Systems.

Jacek Wasilewski, Neil Hurley

A Recommender System for Personalized Exploration of Majors, Minors, and Concentrations.

Young Park

Recommender Systems for Banking and Financial Services.

Andrea Gigli, Fabrizio Lillo, Daniele Regoli

Can Readability Enhance Recommendations on Community Question Answering Sites?

Oghenemaro Anuyah, Ion Madrazo Azpiazu, David McNeill, Maria Soledad Pera

Recommender Popularity Controls: An Observational Study.

F. Maxwell Harper

Do Users Matter? The Contribution of User-Driven Feature Weights to Open Dataset Recommendations.

Anusuriya Devaraju, Shlomo Berkovsky

Towards Effective Exploration/Exploitation in Sequential Music Recommendation.

Himan Abdollahpouri, Steve Essinger

Music Emotion Recognition via End-to-End Multimodal Neural Networks.

Byungsoo Jeon, Chanju Kim, Adrian Kim, Dongwon Kim, Jangyeon Park, JungWoo Ha

An Explanatory Matrix Factorization with User Comments Data.

Donghyun Kim, Hayong Shin

The Demographics of Cool: Popularity and Recommender Performance for Different Groups of Users.

Michael D. Ekstrand, Maria Soledad Pera

Kernalized Collaborative Contextual Bandits.

Leonardo Cella, Romaric Gaudel, Paolo Cremonesi

Users' Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations.

Catalin-Mihai Barbu, Jürgen Ziegler

pyRecLab: A Software Library for Quick Prototyping of Recommender Systems.

Gabriel Sepulveda, Vicente Dominguez, Denis Parra


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