Over the past two decades, a large amount of research effort has been devoted to
developing algorithms that generate recommendations. The resulting research progress has …

In recent years, a variety of review-based recommender systems have been developed, with
the goal of incorporating the valuable information in user-generated textual reviews into the …

The wide deployment of biometric recognition systems in the last two decades has raised
privacy concerns regarding the storage and use of biometric data. As a consequence, the …

In addition to hosting user-generated video content, YouTube provides recommendation
services, where sets of related and recommended videos are presented to users, based on …

We consider a language for reasoning about probability which allows us to make statements
such as “the probability of E 1 is less than 1 3” and “the probability of E 1 is at least twice the …

We describe a novel, multi-task recommendation model, which jointly learns to perform
rating prediction and recommendation explanation by combining matrix factorization, for …

With the ever-increasing popularity of social software, we can easily establish a signed
social n etwork (SSN) by capturing users' attitudes (ie, trust/distrust, friend/enemies …

Twitter has rapidly grown to a popular social network in recent years and provides a large
number of real-time messages for users. Tweets are presented in chronological order and …

Researchers and social observers have both believed that hashtags, as a new type of
organizational objects of information, play a dual role in online microblogging communities …

The goal of this tutorial is to expose participants to the current research on social
recommender systems (ie, recommender systems for the social web). Participants will …