Three UBC-affiliated papers accepted for presentation at VLDB 2015

UBC Computer Science will be well represented at VLDB 2015, the 41st Int'l Conference on Very Large Databeses, to be held in Hawaii, Aug 31 - Sept 4, 2015. The three papers reflect the ever-growing importance of recommender systems and social marketing, and develop novel approximation and estimation algorithms for these now-ubiquitous systems.

Generating Top-k Packages via Preference Elicitation
Min Xie, Laks V.S. Lakshmanan (UBC), Peter T. Wood (Univ. London)

Show Me The Money: Dynamic Recommendations for Revenue Maximization
Wei Lu, Shanshan Chen, Keqian Li, Laks V.S. Lakshmanan    (all UBC)

Viral Marketing Meets Social Advertising: Ad Allocation with Minimum Regret
Cigdem Aslay (Univ. Pompeu Fabra, Yahoo Labs), Wei Lu (UBC), Francesco Bonchi (Yahoo Labs), Amit Goyal (Twitter), Laks V.S. Lakshmanan (UBC)