Prototyping a personalized contextual retrieval framework

Authors:
Damien Palacio;Guillaume Cabanac;Gilles Hubert;Karen Pinel-Sauvagnat;Christian Sallaberry
Affiliations:
University of Zurich, Switzerland;IRIT, University of Toulouse, France;IRIT, University of Toulouse, France;IRIT, University of Toulouse, France;LIUPPA, University of Pau, France
Venue:
Proceedings of the 7th Workshop on Geographic Information Retrieval
Year:
2013

Citing 3
Cited 0

Information filtering and information retrieval: two sides of the same coin?

Communications of the ACM - Special issue on information filtering
Document filtering method using non-relevant information profile

SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Personalized Search Based on User Search Histories

WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

We introduce a framework for searching places according to user interests and spatial context. Our framework combines existing geo-tools or services (e.g., Google Places, Yahoo! BOSS Geo Services, PostGIS, Gisgraphy, Geonames) and ranks results according to features such as distance, popularity, and user preferences. We used this framework to participate in the TREC 2013 Contextual Suggestion Track.