Program

7:30-8:00 Arrival Coffee (Level 2 & Level 4 Pre-Function Areas)

9:00-9:30 Welcome Session

9:30-10:30 Keynote

Engaging users through social recommender systems
Jill Freyne (CSIRO)

10:30-11:00 Morning Break (Level 2 & Level 4 Pre-Function Areas)

11:00-12:30 Paper Presentations

One-Class Recommendation System with PU learning [PDF]
Yu-Chi Chen and Hung-Yu Kao

Speeding up Collaborative Filtering with Parametrized Preprocessing [PDF]
Victor Anthony Arrascue Ayala, Anas Alzoghbi, Martin Przyjaciel-Zablocki, Alexander Schätzle and Georg Lausen

Network Discovery and Recommendation via Joint Network and Topic Modeling [PDF]
Ayan Acharya, Dean Teffer, Mingyuan Zhou and Joydeep Ghosh

12:30-13:30 Working Lunch (Level 2 & Level 4 Pre-Function Areas)

13:30-14:30 Keynote

A/B testing challenges in social networks [PDF]
Ya Xu (LinkedIn)

14:30-15:15 Panel Session

15:15-15:30 Afternoon Break (Level 2 & Level 4 Pre-Function Areas)

15:30-17:00 Paper Presentations

Identifying Interestingness in Fashion E-commerce using Pinterest Data [PDF]
Nazneen Rajani, Khashayar Rohanimanesh and Eduardo Oliveira

Personalized Academic Paper Recommendation System [PDF]
Joonseok Lee, Kisung Lee, Jennifer Kim and Sookyung Kim

Recommending users to follow based on user homophily for content curation social networks [PDF]
Yuchen Jing, Lifang Wu, Xiuzhen Zhang, Dan Wang and Changwen Chen