Classification of Web page content is essential to many tasks in Web information retrieval
such as maintaining Web directories and focused crawling. The uncontrolled nature of Web …

Covering attack detection, malware response, algorithm and mechanism design, privacy,
and risk management, this comprehensive work applies unique quantitative models derived …

Acoustic-based music recommender systems have received increasing interest in recent
years. Due to the semantic gap between low level acoustic features and high level music …

The bipartite graph is a ubiquitous data structure that can model the relationship between
two entity types: for instance, users and items, queries and webpages. In this paper, we …

Visual classification has attracted considerable research interests in the past decades. In
this paper, a novel ℓ 1-hypergraph model for visual classification is proposed. Hypergraph …

We consider the problem of controlling a partially-observed dynamic process on a graph by
a limited number of interventions. This problem naturally arises in contexts such as …

Recommender systems aim to identify relevant items for particular users in large-scale
online applications. The historical rating data of users is a valuable input resource for many …

Graph-structured data exhibits universality and widespread applicability across diverse
domains, such as social network analysis, biochemistry, financial fraud detection, and …

There are various kinds of social media information, including different types of objects and
relations among these objects, in music social communities such as Last. fm and Pandora …

Label ranking is a complex prediction task where the goal is to map instances to a total order
over a finite set of predefined labels. An interesting aspect of this problem is that it subsumes …