[Our apologies for cross posting]

 

ACM International Conference on Recommender Systems (RecSys) 2013 Oct 12-16, 2013, Hong Kong, China

 

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Registration

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Please register as soon as possible (https://www.regonline.com/Register/Checkin.aspx?EventID=1263861) to ensure that you join this rich experience in Recommendation System area's biggest event!

 

EARLY: ON OR BEFORE SEPT 7

LATE : ON OR AFTER SEPT 8

ON-SITE: ON OR AFTER OCT 5

http://recsys.acm.org/recsys13/registration/

 

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Program

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All events have lunch breaks at 12.30h-14.00h and coffee breaks at 10.15h-10-45h and 15.45h-16.15h, respectively.

http://recsys.acm.org/recsys13/program/

 

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Sat, Oct 12

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-        Doctoral Symposium

(Room LT-11, 8.30h 18.00h)

-        Workshop Decisions: Human Decision Making in Recommender Systems

(Room LT-15, 8.30h 18.00h)

-        Workshop RepSys: Reproducibility and Replication in Recommender Systems Evaluation

(Room LT-16, 8.30h 18.00h)

-        Workshop CrowdRec: Crowdsourcing and Human Computation for Recommender Systems

(Room LT-10, 14.00h 18.00h)

-        Tutorial Mining Social Networks for Recommendation

(Room LT-13, 8.30h 10.15h)

-        Tutorial Learning to Rank

(Room LT-13, 14.00h 15.45h)

 

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Sun, Oct 13

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-        Workshop RSWeb: Recommender Systems and the Social Web

(Room LT-7, 8.30h 18.00h)

-        Workshop NRS: News Recommender Systems Workshop and Challenge

(Room LT-15, 8.30h 12.30h)

-        Workshop SeRSy: Recommender Systems meet Big Data and Semantic Technologies

(Room LT-16, 14.00h 18.00h)

-        Workshop LargeScale: Large Scale Recommendation Systems: Research and Best Practice

(Room LT-14, 8.30h 18.00h)

-        Workshop Workshop on the RecSys Challenge 2013

(Room LT-17, 8.30h 18.00h)

-        Tutorial Beyond Friendship: The Art, Science and Applications of Recommending People to People in Social Networks

(Room LT-13, 8.30h 10.15h)

-        Tutorial Preference Handling

(Room LT-13, 14.00h 15.45h)

 

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Mon, Oct 14

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08:30 10:15 OPENING, KEYNOTE: INFORMATION EXTRACTION, SENTIMENT ANALYSIS, AND RECOMMENDATIONS

-        Professor Oren Etzioni (University of Washington, Seattle, WA, USA)

 

10:15 10:45 COFFEE BREAK

 

10:45 12:30 SESSION 1: CONTEXT-AWARE

 

-        Context-Aware Review Helpfulness Rating Prediction

by Jiliang Tang

 

-        Query-Driven Context Aware Recommendation

by Negar Hariri; Bamshad Mobasher; Robin Burke

 

-        Location-aware Music Recommendation Using Auto-Tagging and Hybrid Matching

by Marius Kaminskas; Francesco Ricci; Markus Schedl

 

-        Spatial Topic Modeling in Online Social Media for Location Recommendation

by Bo Hu; Martin Ester

 

12:30 14:00 LUNCH

 

14:00 15:45 SESSION 2: METHODS, ALGORITHMS, AND THEORIES

 

-        Orthogonal Query Recommendation

by Hossein Vahabi; Margareta Ackerman; David Loker; Ricardo Baeza-Yates; Alejandro Lopez-Ortiz

 

-        Understanding and Improving Relational Matrix Factorization in Recommender Systems

by Li Pu; Boi Faltings

 

-        Retargeted Matrix Factorization for Collaborative Filtering

by Oluwasanmi Koyejo; Sreangsu Acharyya; Joydeep Ghosh

 

-        Trading-off Among Accuracy; Similarity; Diversity; and Long-tail: A Graph-based Recommendation Approach

by Lei Shi

 

-        Nonlinear Latent Factorization by Embedding Multiple User Interests

by Jason Weston; Ron Weiss; Hector Yee

 

15:45 16:15 COFFEE BREAK

 

16:15 18:00 SESSION 3: SOCIAL MEDIA AND RECOMMENDER SYSTEMS

 

-        Diffusion-aware Personalized Social Update Recommendation

by Ye Pan; Kailong Chen; Yong Yu

 

-        Recommending Branded Products from Social Media

by Yongzheng Zhang; Marco Pennacchiotti

 

-        Top-N Recommendations from Implicit Feedback leveraging Linked Open Data

by Vito Claudio Ostuni; Tommaso Di Noia; Eugenio Di Sciascio; Roberto Mirizzi

 

-        Exploring Temporal Effects for Location Recommendation on Location-Based Social Networks

by Huiji Gao; Jiliang Tang; Xia Hu; Huan Liu

 

-        The Curated Web: A Recommendation Challenge

by Zurina Saaya; Rachael Rafter; Markus Schaal; Barry Smyth

 

18:00 21:00 POSTER AND DEMO RECEPTION

 

-        Creative Media Centre, City University of Hong Kong

 

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Tue, Oct 15

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08:30 10:15 SESSION 4: MEDIA RECOMMENDATION

 

-        Personalized News Recommendation with Context Trees

by Florent Garcin; Christos Dimitrakakis; Boi Faltings

 

-        What to Read Next?: Making Personalized Book Recommendations for K-12 Users

by Maria Pera; Yiu-Kai Ng

 

-        Movie Recommender System for Profit Maximization

by Amos Azaria; Avinatan Hassidim; Sarit Kraus; Adi Eshkol; Ofer Weintraub; Irit Netanely

 

-        Xbox Movies Recommendations: Variational Bayes Matrix Factorization with Embedded Feature Selection

by Noam Koenigstein; Ulrich Paquet

 

-        Personalized Next-song Recommendation in Online Karaokes

by Xiang Wu; Qi Liu; Enhong Chen; Jingsong Lv; Can Cao; Guoping Hu

 

10:15 10:45 COFFEE BREAK

 

10:45 12:30 KEYNOTE: RECOMMENDATION IN ONLINE ADVERTISING

 

-        Dr. Dou Shen (Director of Advertising, Baidu, China)

 

12:30 14:00 LUNCH

 

14:00 15:45 SESSION 5: USER EXPERIENCE

 

-        Topic Diversity in Tag Recommendation

by Fabiano Belm Rodrygo Santos; Marcos Goncalves; Jussara Almeida

 

-        Rating support interfaces to improve user experience and recommender accuracy

by Tien T. Nguyen; Daniel Kluver; Ting-Yu Wang; Pik-Mai Hui; Michael Ekstrand; Martijn C. Willemsen; John Riedl

 

-        ReComment: Towards Critiquing-based Recommendation with Speech Interaction

by Peter Grasch; Alexander Felfernig; Florian Reinfrank

 

-        Hidden Factors and Hidden Topics: Understanding Rating Dimensions with Review Text

by Julian McAuley; Jure Leskovec

 

-        Improving Augmented Reality Using Recommender Systems

by Zhuo Zhang; Shang Shang; Sanjeev Kulkarni; Pan Hui

 

15:45 16:15 COFFEE BREAK

 

16:15 18:00 SESSION 6: BEYOND RATINGS

 

-        Exploiting non-content taste attributes through hybrid recommendation method

by Fernando Mouro Leonardo Rocha; Joseph Konstan; Wagner Meira Jr.

 

-        Hybrid Event Recommendation using Linked Data and User Diversity

by Houda Khrouf; Raphael Troncy

 

-        Pairwise Feedback in Recommendation: Experiments with Community Recommendation on LinkedIn

by Amit Sharma; Baoshi Yan

 

-        Which app will you use next? Collaborative Filtering with Interactional Context

by Nagarajan Natarajan; Donghyuk Shin; Inderjit Dhillon

 

-        A Food Recommender for Patients in a Care Facility

by Toon De Pessemier; Simon Dooms; Luc Martens

 

18:00 21:00 BANQUET

 

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Wed, Oct 16

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08:30-10:15 INDUSTRY SESSION

 

10:15 10:45 COFFEE BREAK

 

10:45 12:30 KEYNOTE: RECOMMENDATION FOR HAPPINESS

 

-        Yan, Mu (Co-founder & Chief Happiness Officer, Baihe.com, China)

 

12:30 14:00 LUNCH

 

14:00 15:45 SESSION 7: METHODS, ALGORITHMS, AND THEORIES

 

-        Rating-Prediction and Ranking

by Harald Steck

 

-        You Are What You Consume: A Bayesian Method For Personalized Recommendations

by Konstantinos Babas; Georgios Chalkiadakis; Evangelos Tripolitakis

 

-        To Personalize or Not: A Risk Management Perspective

by Weinan Zhang; Jun Wang; Bowei Chen; Xiaoxue Zhao

 

-        Online Multi-Task Collaborative Filtering for On-the-Fly Recommender Systems

by Jialei Wang; Steven C.H. Hoi; Peilin Zhao

 

-        Learning to Rank Recommendations with the k-Order Statistic Loss

by Jason Weston; Hector Yee; Ron Weiss

 

15:45 16:15 COFFEE BREAK

 

16:15 18:00 SESSION 8: SCALABILITY

 

-        A Fast Parallel SGD for Matrix Factorization in Shared Memory Systems

by Yong Zhuang; Wei-Sheng Chin; Yu-Chin Juan; Chih-Jen Lin

 

-        DrunkardMob: Billions of Random Walks on Just a PC

by Aapo Kyrola

 

-        Using Set Cover to Optimize Recommendation Systems in E-Commerce

by Mikael Hammar; Robin Karlsson; Bengt Nilsson

 

-        Efficient Top-N Recommendation for Very Large Scale Binary Rated Datasets

by Fabio Aiolli

 

-        Distributed Matrix Factorization with MapReduce using a series of Broadcast-Joins

by Sebastian Schelter; Christoph Boden; Martin Schenck; Alexander Alexandrov; Volker Markl

 

 



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