[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)
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Workshop Decisions: Human
Decision Making in Recommender Systems
(Room LT-15,
8.30h – 18.00h)
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Workshop RepSys:
Reproducibility and Replication in Recommender Systems Evaluation
(Room LT-16,
8.30h – 18.00h)
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Workshop CrowdRec:
Crowdsourcing and Human Computation for Recommender Systems
(Room LT-10,
14.00h – 18.00h)
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Tutorial Mining Social Networks
for Recommendation
(Room LT-13,
8.30h – 10.15h)
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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)
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Workshop NRS: News Recommender
Systems Workshop and Challenge
(Room LT-15,
8.30h – 12.30h)
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Workshop SeRSy: Recommender
Systems meet Big Data and Semantic Technologies
(Room LT-16,
14.00h – 18.00h)
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Workshop LargeScale: Large
Scale Recommendation Systems: Research and Best Practice
(Room LT-14,
8.30h – 18.00h)
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Workshop Workshop on the RecSys
Challenge 2013
(Room LT-17,
8.30h – 18.00h)
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Tutorial Beyond Friendship: The Art,
Science and Applications of Recommending People to People in Social Networks
(Room LT-13,
8.30h – 10.15h)
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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
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Context-Aware Review
Helpfulness Rating Prediction
by Jiliang Tang
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Query-Driven Context Aware
Recommendation
by Negar Hariri; Bamshad Mobasher; Robin Burke
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Location-aware Music
Recommendation Using Auto-Tagging and Hybrid Matching
by Marius Kaminskas; Francesco Ricci; Markus Schedl
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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
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Orthogonal Query Recommendation
by Hossein Vahabi; Margareta Ackerman; David Loker; Ricardo
Baeza-Yates; Alejandro Lopez-Ortiz
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Understanding and Improving
Relational Matrix Factorization in Recommender Systems
by Li Pu; Boi Faltings
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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
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Diffusion-aware Personalized
Social Update Recommendation
by Ye Pan; Kailong Chen; Yong Yu
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Recommending Branded Products
from Social Media
by Yongzheng Zhang; Marco Pennacchiotti
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Top-N Recommendations from
Implicit Feedback leveraging Linked Open Data
by Vito Claudio Ostuni; Tommaso Di Noia; Eugenio Di Sciascio;
Roberto Mirizzi
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Exploring Temporal Effects for Location
Recommendation on Location-Based Social Networks
by Huiji Gao;
Jiliang Tang; Xia Hu; Huan Liu
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The Curated Web: A
Recommendation Challenge
by Zurina Saaya; Rachael Rafter; Markus Schaal; Barry Smyth
18:00 – 21:00 —
POSTER AND DEMO RECEPTION
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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
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Personalized News
Recommendation with Context Trees
by Florent Garcin; Christos Dimitrakakis; Boi Faltings
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What to Read Next?: Making
Personalized Book Recommendations for K-12 Users
by Maria Pera; Yiu-Kai Ng
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Movie Recommender System for
Profit Maximization
by Amos Azaria; Avinatan Hassidim; Sarit Kraus; Adi Eshkol; Ofer
Weintraub; Irit Netanely
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Xbox Movies Recommendations:
Variational Bayes Matrix Factorization with Embedded Feature Selection
by Noam Koenigstein; Ulrich Paquet
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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
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Dr. Dou Shen (Director of
Advertising, Baidu, China)
12:30 – 14:00 LUNCH
14:00 – 15:45 SESSION
5: USER EXPERIENCE
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Topic Diversity in Tag
Recommendation
by Fabiano Belém Rodrygo Santos; Marcos Goncalves; Jussara Almeida
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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
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ReComment: Towards
Critiquing-based Recommendation with Speech Interaction
by Peter Grasch; Alexander Felfernig; Florian Reinfrank
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Hidden Factors and Hidden
Topics: Understanding Rating Dimensions with Review Text
by Julian McAuley; Jure Leskovec
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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
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Exploiting non-content taste
attributes through hybrid recommendation method
by Fernando Mourão Leonardo Rocha; Joseph Konstan; Wagner Meira Jr.
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Hybrid Event Recommendation
using Linked Data and User Diversity
by Houda Khrouf; Raphael Troncy
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Pairwise Feedback in
Recommendation: Experiments with Community Recommendation on LinkedIn
by Amit Sharma; Baoshi Yan
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Which app will you use next?
Collaborative Filtering with Interactional Context
by Nagarajan Natarajan; Donghyuk Shin; Inderjit Dhillon
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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
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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
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Rating-Prediction and Ranking
by Harald Steck
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You Are What You Consume: A
Bayesian Method For Personalized Recommendations
by Konstantinos Babas; Georgios Chalkiadakis; Evangelos Tripolitakis
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To Personalize or Not: A Risk
Management Perspective
by Weinan Zhang; Jun Wang; Bowei Chen; Xiaoxue Zhao
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Online Multi-Task Collaborative
Filtering for On-the-Fly Recommender Systems
by Jialei Wang; Steven C.H. Hoi; Peilin Zhao
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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
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A Fast Parallel SGD for Matrix
Factorization in Shared Memory Systems
by Yong Zhuang; Wei-Sheng Chin; Yu-Chin Juan; Chih-Jen Lin
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DrunkardMob: Billions of Random
Walks on Just a PC
by Aapo Kyrola
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Using Set Cover to Optimize
Recommendation Systems in E-Commerce
by Mikael Hammar; Robin Karlsson; Bengt Nilsson
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Efficient Top-N Recommendation
for Very Large Scale Binary Rated Datasets
by Fabio Aiolli
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Distributed Matrix
Factorization with MapReduce using a series of Broadcast-Joins
by Sebastian Schelter; Christoph Boden; Martin Schenck; Alexander
Alexandrov; Volker Markl