Publications associées à Nuage de mots-clés

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

The rapidly increasing amount of user-generated content in social tagging systems provides a huge source of information. Yet, performing effective search in these systems is very challenging, especially when we seek the most appropriate items that match a ...

Assoc Computing Machinery2014

Unison Cache: A Scalable and Effective Die-Stacked DRAM Cache

Babak Falsafi, Ilknur Cansu Kaynak

Recent research advocates large die-stacked DRAM caches in manycore servers to break the memory latency and bandwidth wall. To realize their full potential, die-stacked DRAM caches necessitate low lookup latencies, high hit rates and the efficient use of o ...

IEEE2014

Multi-factor Segmentation for Topic Visualization and Recommendation: the MUST-VIS System

Andrei Popescu-Belis, Sandy Ingram, Nikolaos Pappas, Maryam Habibi

This paper presents the MUST-VIS system for the MediaMixer/VideoLectures.NET Temporal Segmentation and Annotation Grand Challenge. The system allows users to visualize a lecture as a series of segments represented by keyword clouds, with relations to other ...

ACM2013

Spam Fighting in Social Tagging Systems

Touradj Ebrahimi, Sasan Yazdani, Ivan Ivanov

Tagging in online social networks is very popular these days, as it facilitates search and retrieval of diverse resources available online. However, noisy and spam annotations often make it difficult to perform an efficient search. Users may make mistakes ...

Springer-Verlag2012

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Karl Aberer, Alexey Boyarsky, Oleg Ruchayskiy, Philippe Cudré-Mauroux, Roman Prokofyev

We tackle the problem of improving the relevance of automatically selected tags in large-scale ontology-based information systems. Contrary to traditional settings where tags can be chosen arbitrarily, we focus on the problem of recommending tags (e.g., co ...

Springer2012

Efficient monitoring of personalized hot news over Web 2.0 streams

Karl Aberer, Sebastian Michel, Parisa Haghani

Web 2.0 streams, like blog postings, microblogging tweets, or RSS feeds from online communities, offer a wealth of latest news about real-world events and societal discussion. From a user’s perspective, it becomes harder and harder to get a decent overview ...

2012

Advanced Search, Visualization and Tagging of Sensor Metadata

Karl Aberer, Ho Young Jeung, Ioannis Paparrizos

As sensors continue to proliferate, the capabilities of effectively querying not only sensor data but also its metadata becomes important in a wide range of applications. This paper demonstrates a search system that utilizes various techniques and tools fo ...

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

Tracking Hot-k Items over Web 2.0 Streams

Karl Aberer, Sebastian Michel, Parisa Haghani

The rise of the Web 2.0 has made content publishing easier than ever. Yesterday’s passive consumers are now active users who generate and contribute new data to the web at an immense rate. We consider evaluating data driven aggregation queries which arise ...

2011

Kodak Moments and Flickr Diamonds: How Users Shape Large-scale Media

Daniel Gatica-Perez, Radu Andrei Negoescu

In today's age of digital multimedia deluge, a clear understanding of the dynamics of online communities is capital. Users have abandoned their role of passive consumers and are now the driving force behind large-scale media repositories, whose dynamics an ...

Idiap2010

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.

Nuage de mots-clés

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Unison Cache: A Scalable and Effective Die-Stacked DRAM Cache

Multi-factor Segmentation for Topic Visualization and Recommendation: the MUST-VIS System

Using Phonological Phrase Segmentation to Improve Automatic Keyword Spotting for the Highly Agglutinating Hungarian Language

Spam Fighting in Social Tagging Systems

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Efficient monitoring of personalized hot news over Web 2.0 streams

Advanced Search, Visualization and Tagging of Sensor Metadata

Tracking Hot-k Items over Web 2.0 Streams

Kodak Moments and Flickr Diamonds: How Users Shape Large-scale Media

Graph Chatbot

Chattez avec Graph Search

Multi-factor Segmentation for Topic Visualization and Recommendation: the MUST-VIS System

Using Phonological Phrase Segmentation to Improve Automatic Keyword Spotting for the Highly Agglutinating Hungarian Language

Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Tag Recommendation for Large-Scale Ontology-Based Information Systems

Kodak Moments and Flickr Diamonds: How Users Shape Large-scale Media

Efficient monitoring of personalized hot news over Web 2.0 streams

Advanced Search, Visualization and Tagging of Sensor Metadata

Tracking Hot-k Items over Web 2.0 Streams

Unison Cache: A Scalable and Effective Die-Stacked DRAM Cache

Spam Fighting in Social Tagging Systems