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Leveraging User-Generated Content for Information Discovery on the Web

Related publications (192)

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Parallelizing Machine Learning- Functionally: A Framework and Abstractions for Parallel Graph Processing

Philipp Haller

Implementing machine learning algorithms for large data, such as the Web graph and social networks, is challenging. Even though much research has focused on making sequential algorithms more scalable, their running times continue to be prohibitively long. ...

2011

Flickr Groups: Multimedia Communities for Multimedia Analysis

Daniel Gatica-Perez, Radu Andrei Negoescu

We present in this chapter a review of current work that leverages on large online social networks' meta-information, in particular Flickr Groups. We briefly present this hugely successful feature in Flickr and discuss the various ways in which metadata st ...

Bentham Science Publishers2011

A Regularization Framework for Mobile Social Network Analysis

Pascal Frossard, Pierre Vandergheynst, Xiaowen Dong

Mobile phone data provides rich dynamic information on human activities in social network analysis. In this paper, we represent data from two different modalities as a graph and functions defined on the vertex set of the graph. We propose a regularization ...

2011

Multi-Graph Regularization For Efficient Delivery Of User Generated Content In Online Social Networks

We present a methodology for enhancing the delivery of user-generated content in online social networks. To this end, we first regularize the social graph via node capacity and link cost information associated with the underlying data network. We then desi ...

2011

Call me Guru: user categories and large-scale behavior in YouTube

Daniel Gatica-Perez, Joan Isaac Biel Tres

While existing studies on YouTube’s massive user-generated video content have mostly focused on the analysis of videos, their characteristics, and network properties, little attention has been paid to the analysis of users’ long-term behavior as it relates ...

Springer2011

My3: A highly-available P2P-based online social network

Karl Aberer, Rammohan Narendula

As the online social networks (OSNs), such as Facebook, witness explosive growth, the privacy challenges gain critical consideration from governmental and law agencies due to concentration of vast amount of personal information within a single administrati ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Collaborative Personalized Top-k Processing

Rachid Guerraoui, Anne-Marie Kermarrec

This article presents P4Q, a fully decentralized gossip-based protocol to personalize query processing in social tagging systems. P4Q dynamically associates each user with social acquaintances sharing similar tagging behaviors. Queries are gossiped among s ...

Association for Computing Machinery2011

Contextual Factors in the Adoption of Social Software: a Case Study

Denis Gillet, Maryam Najafian-Razavi

Over the past decade, social computing has emerged immensely as a phenomenon among distributed communities. The benefits of social systems depend on a large part on the existence of an active user community who use it continuously to deploy and share infor ...

2011

The Memory's Ark –

Manuel Philippe Henri Potterat

Un espace de stockage et de conservation des contenus nativement digitaux. A Place of Storage and Preservation of nativly digital Contents. Text: m.ark is information; m.ark is immaterial; m.ark is hardware m.ark is storage; m.ark is material; m.ark is con ...

2011

Agile Views in a Dynamic Data Management System

Christoph Koch, Yanif Ahmad

This paper calls for a new breed of lightweight systems - dynamic data management systems (DDMS). In a nutshell, a DDMS manages large dynamic data structures with agile, frequently fresh views, and provides a facility for monitoring these views and trigger ...

2011