Add to ORKGIn this paper we give an overview of the participation of the IRIT, GeoComp, and LIUPPA labs in the TREC 2013 Contextual Suggestion Track. 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 context-place distance, place popularity, and user preferences. We participated in the Open Web and ClueWeb12 sub-tracks with runs IRIT.OpenWeb and IRIT.ClueWeb
Point-of-Interest (POI) recommendation systems have gained popularity for their unique ability to su...
Traditionally, recommender systems modelled the physical and cyber contextual influence on people�...
International audienceSearch applications where queries are dependent on their context are becoming ...
International audienceIn this paper we give an overview of the participation of the IRIT, GeoComp, a...
In this work, we give an overview of our participation in the TREC 2014 Contextual Suggestion Track....
This paper provides an overview of our participation in the Contextual Suggestion Track. The TREC 20...
Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Contextual suggestio...
The purpose of the Contextual Suggestion track, an evalua-tion task at the TREC 2012 conference, is ...
This paper provides an overview of the work done at the Centrum Wiskunde & Informatica (CWI) and Del...
We present an approach for context processing that comprises a carefully designed and fine-tuned POI...
This year we did not use ClueWeb12 or ClueWeb12-B,while we solve this issue based on data we crawled...
Abstract. We report our participation in the contextual suggestion track of TREC 2014 for which we s...
Personalized (mobile) devices are radically changing information access tools, with rich context all...
Development of context-aware systems depends on the context definition and the context components. T...
Mobile applications such as Google Maps can provide suggestions for nearby locations. However, some ...
Point-of-Interest (POI) recommendation systems have gained popularity for their unique ability to su...
Traditionally, recommender systems modelled the physical and cyber contextual influence on people�...
International audienceSearch applications where queries are dependent on their context are becoming ...
International audienceIn this paper we give an overview of the participation of the IRIT, GeoComp, a...
In this work, we give an overview of our participation in the TREC 2014 Contextual Suggestion Track....
This paper provides an overview of our participation in the Contextual Suggestion Track. The TREC 20...
Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Contextual suggestio...
The purpose of the Contextual Suggestion track, an evalua-tion task at the TREC 2012 conference, is ...
This paper provides an overview of the work done at the Centrum Wiskunde & Informatica (CWI) and Del...
We present an approach for context processing that comprises a carefully designed and fine-tuned POI...
This year we did not use ClueWeb12 or ClueWeb12-B,while we solve this issue based on data we crawled...
Abstract. We report our participation in the contextual suggestion track of TREC 2014 for which we s...
Personalized (mobile) devices are radically changing information access tools, with rich context all...
Development of context-aware systems depends on the context definition and the context components. T...
Mobile applications such as Google Maps can provide suggestions for nearby locations. However, some ...
Point-of-Interest (POI) recommendation systems have gained popularity for their unique ability to su...
Traditionally, recommender systems modelled the physical and cyber contextual influence on people�...
International audienceSearch applications where queries are dependent on their context are becoming ...