Publication

Leveraging User-Generated Content for Information Discovery on the Web

Publications associées (192)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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The gist of everything new: personalized top-k processing over web 2.0 streams

Karl Aberer, Sebastian Michel, Parisa Haghani

Web 2.0 portals have made content generation easier than ever with millions of users contributing news stories in form of posts in weblogs or short textual snippets as in Twitter. Efficient and effective filtering solutions are key to allow users stay tune ...

ACM2010

Predictive approach for schema evolution

Hassina Bounif

In today's companies and organizations, databases are omnipresent. They are the means to represent and store information. Therefore, they must evolve whenever the information architecture (semantic and structure) changes. Databases are subject to evolution ...

EPFL2009

Implicit Human Centered Tagging

Nicolae Suditu, Alessandro Vinciarelli

This paper provides a general introduction to the concept of Implicit Human-Centered Tagging (IHCT) - the automatic extraction of tags from nonverbal behavioral feedback of media users. The main idea behind IHCT is that nonverbal behaviors displayed when i ...

2009

Understanding the Web

Eda Baykan

The World Wide Web is one of the most widely used information resources. Understanding the web better will enable us to benefit more of it. In this thesis we develop techniques to learn the properties of the web pages like language and topic using only the ...

EPFL2009

Entity Search with NECESSITY

Zoltán Miklós, Saket Sathe, Gleb Skobeltsyn, Nicolas Bonvin, Ekaterini Ioannou, Anshul Jain

Loosely structured heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. A common problem these information spaces need to address is that various data describe the same rea ...

2009

Wearing a YouTube hat: directors, comedians, gurus, and user aggregated behavior

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 ...

ACM2009

Neighborhood-based Tag Prediction

Karl Aberer, Philippe Cudré-Mauroux, Sebastian Michel, Adriana Budura

We consider the problem of tag prediction in collaborative tagging systems where users share and annotate resources on the Web. We put forward HAMLET, a novel approach to automatically propagate tags along the edges of a graph which relates similar documen ...

2009

Conceptual modeling of multimedia databases

Oleksandr Drutskyy

The gap between the semantic content of multimedia data and its underlying physical representation is one of the main problems in the modern multimedia research in general, and, in particular, in the field of multimedia database modeling. We believe that o ...

EPFL2009

Flickr Hypergroups

Daniel Gatica-Perez, Radu Andrei Negoescu

The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often self-organize in user communities through Flickr Groups. These groups are part ...

2009

Flickr Hypergroups

Daniel Gatica-Perez, Radu Andrei Negoescu

Idiap2009