Publications associées à Filtrage collaboratif

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

How to kill inventors: testing the MassacratorA (c) algorithm for inventor disambiguation

Michele Pezzoni, Francesco Lissoni

Inventor disambiguation is an increasingly important issue for users of patent data. We propose and test a number of refinements to the original Massacrator algorithm, originally proposed by Lissoni et al. (The keins database on academic inventors: methodo ...

Springer2014

Multimodal Reranking of Content-based Recommendations for Hyperlinking Video Snippets

Andrei Popescu-Belis, Nikolaos Pappas, Maryam Habibi

In this paper, we present an approach for topic-level search and hyperlinking of video snippets, which relies on contentbased recommendation and multimodal re-ranking techniques. We identify topic-level segments using transcripts or subtitles and enrich th ...

2014

Combining Content with User Preferences for TED Lecture Recommendation

Andrei Popescu-Belis, Nikolaos Pappas

This paper introduces a new dataset and compares several methods for the recommendation of non-fiction audio-visual material, namely lectures from the TED website. The TED dataset contains 1,149 talks and 69,023 user profiles, who have made more than 100,0 ...

IEEE2013

Recommendation using textual opinions

Boi Faltings, Claudiu-Cristian Musat

Many web sites collect reviews of products and services and use them provide rankings of their quality. However, such rankings are not personalized. We investigate how the information in the reviews written by a particular user can be used to personalize t ...

2013

Personalized News Recommendation with Context Trees

Boi Faltings, Christos Dimitrakakis, Florent Frédéric Garcin

The proliferation of online news creates a need for filtering interesting articles. Compared to other products, however, recommending news has specific challenges: news preferences are subject to trends, users do not want to see multiple articles with simi ...

2013

Idiap at MediaEval 2013: Search and Hyperlinking Task

Andrei Popescu-Belis, Nikolaos Pappas, Maryam Habibi

The Idiap system for search and hyperlinking uses topic-based segmentation, content-based recommendation algorithms, and multimodal re-ranking. For both sub-tasks, our system performs better with automatic speech recognition output than with manual subtitl ...

CEUR-WS.org2013

WHATSUP: A Decentralized Instant News Recommender

Rachid Guerraoui, Anne-Marie Kermarrec, Davide Frey

We present WhatsUp, a collaborative filtering system for disseminating news items in a large-scale dynamic setting with no central authority. WhatsUp constructs an implicit social network based on user profiles that express the opinions of users about the ...

2013

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.

Filtrage collaboratif

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

How to kill inventors: testing the MassacratorA (c) algorithm for inventor disambiguation

Multimodal Reranking of Content-based Recommendations for Hyperlinking Video Snippets

Topic-Level Extractive Summarization of Lectures and Meetings Using a Snippet Similarity Graph

Aggregating information from the crowd

Combining Content with User Preferences for TED Lecture Recommendation

Recommendation using textual opinions

Personalized News Recommendation with Context Trees

Idiap at MediaEval 2013: Search and Hyperlinking Task

WHATSUP: A Decentralized Instant News Recommender

Graph Chatbot

Chattez avec Graph Search

Combining Content with User Preferences for TED Lecture Recommendation

Topic-Level Extractive Summarization of Lectures and Meetings Using a Snippet Similarity Graph

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

How to kill inventors: testing the MassacratorA (c) algorithm for inventor disambiguation

Multimodal Reranking of Content-based Recommendations for Hyperlinking Video Snippets

Personalized News Recommendation with Context Trees

Idiap at MediaEval 2013: Search and Hyperlinking Task

Aggregating information from the crowd

WHATSUP: A Decentralized Instant News Recommender

Recommendation using textual opinions