Le filtrage collaboratif et le web 2.0. État de l'art
@article{Oufaida2008LeFC,
title={Le filtrage collaboratif et le web 2.0. {\'E}tat de l'art},
author={Houda Oufaida and Omar Nouali},
journal={Document Num{\'e}rique},
year={2008},
volume={11},
pages={13-35}
}Le present article fait le point sur l’etat de l’art des systemes de filtrage d’information. Il presente les differentes techniques de filtrage proposees dans la litterature dont le filtrage a base de contenu, le filtrage collaboratif et les modeles de filtrage hybrides. Il presente egalement les differentes limitations dont souffre toujours ce type de systemes notamment la rarete des votes et le probleme du demarrage a froid. Enfin, il discute les evolutions majeures previsibles avec l…
4 Citations
Processus de veille par infomédiation sociale pour construire l'e-réputation d'une organisation. Approche par agents-facilitateurs appliquée à la DSIC de La Poste
- Political Science
- 2013
Cette recherche-action menee au sein de la DSIC de La Poste s'interesse a la reputation des organisations et a son pendant numerique (l'e-reputation) par le prisme des sciences de…
Cognitive filtering of textual information agents based implementation
- Computer ScienceInt. Arab J. Inf. Technol.
- 2011
An open, dynamic and evolving solution that offers to the filtering process the opportunity to learn, exploit the learned knowledge and adapt itself to the application environment is proposed.
Evaluating the impact of personalized recommendations: Application in the mass-retailing sector.
- Business
- 2015
This research aims at experimentally examining the impact of personalized recommendations – specific products recommended to a customer based on his purchase history – on the customer’s…
References
SHOWING 1-10 OF 57 REFERENCES
Accès à l'information par un système de filtrage collaboratif contrôlé
- Political Science
- 2005
De nos jours, d'importantes quantites d'informations sont a la disposition de chacun grâce au developpement des technologies de l'information. Afin d'aider a la decouverte de documents interessants,…
Folksonomies, the semantic web, and movie recommendation
- Computer Science
- 2007
This paper investigates the question that folksonomy-generated movie tag-clouds can be used to construct better user profiles that reflect a user's level of interest in different kinds of movies, and therefore, provide a basis for prediction of their rating for a previously unseen movie.
Using collaborative filtering to weave an information tapestry
- Computer ScienceCACM
- 1992
Tapestry is intended to handle any incoming stream of electronic documents and serves both as a mail filter and repository; its components are the indexer, document store, annotation store, filterer, little box, remailer, appraiser and reader/browser.
Ontologically-Enriched Unified User Modeling for Cross-System Personalization
- Computer ScienceUser Modeling
- 2005
This paper proposes the use of a common ontology-based user context model as a basis for the exchange of user profiles between multiple systems and, thus, as a foundation for cross-system personalization.
Content-based Collaborative Information Filtering: Actively Learning to Classify and Recommend Documents
- Computer ScienceCIA
- 1998
This paper combines both approaches developing a new content-based filtering technique for learning up-to-date users' profile that serves as basis for a novel collaborative information-filtering algorithm.
Combining Content-Based and Collaborative Filters in an Online Newspaper
- Computer ScienceSIGIR 1999
- 1999
A new ltering approach is presented that combines the coverage and speed of content-lters with the depth of collaborative ltering, and is applied to an online newspaper, an as yet untapped opportunity for lters useful to the widespread news reading populace.
Fab: content-based, collaborative recommendation
- Computer ScienceCACM
- 1997
It is explained how a hybrid system can incorporate the advantages of both methods while inheriting the disadvantages of neither, and how the particular design of the Fab architecture brings two additional benefits.
Trust-Aware Collaborative Filtering for Recommender Systems
- Computer ScienceCoopIS/DOA/ODBASE
- 2004
An empirical evaluation on Epinions.com dataset shows that trust propagation can increase the coverage of Recommender Systems while preserving the quality of predictions.
GroupLens: an open architecture for collaborative filtering of netnews
- Computer ScienceCSCW '94
- 1994
GroupLens is a system for collaborative filtering of netnews, to help people find articles they will like in the huge stream of available articles, and protect their privacy by entering ratings under pseudonyms, without reducing the effectiveness of the score prediction.
Ontology construction for information selection
- Computer Science14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings.
- 2002
A new mechanism that can generate ontology automatically is proposed in order to make the approach scalable and it is observed that the modified SOTA outperforms hierarchical agglomerative clustering (HAC) and an automatic concept selection algorithm from WordNet called linguistic ontology is proposed.