International audienceIn this work, we give an overview of our participation in the TREC 2014 Contextual Suggestion Track. To address the retrieval of attraction places, we propose a fuzzy-based document combination approach for preference learning and context processing.We use the open web in our submission and make use of both criteria users preferences and geographical location criteria
<p>This paper presents our approach for the Contextual Suggestion track of 2014 Text REtrieval Confe...
In this paper we describe our efforts for TREC contex-tual suggestion task. Our goal of this year is...
This thesis examines techniques that can be used to evaluate systems that solve the complex task of ...
In this work, we give an overview of our participation in the TREC 2014 Contextual Suggestion Track....
In this paper we give an overview of the participation of the IRIT, GeoComp, and LIUPPA labs in the ...
Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Contextual suggestio...
This paper provides an overview of the work done at the Centrum Wiskunde & Informatica (CWI) and Del...
This paper provides an overview of our participation in the Contextual Suggestion Track. The TREC 20...
National audienceA large body of work in the information retrieval area has highlighted that relevan...
The challenge of providing personalized and contextually appropriate recommendations to a user is fa...
In this paper, we study the emerging Information Retrieval (IR) task of contextual suggestion in loc...
Personalized (mobile) devices are radically changing information access tools, with rich context all...
Venue recommendation aims to assist users by making personalised suggestions of venues to visit, bu...
Abstract. We report our participation in the contextual suggestion track of TREC 2014 for which we s...
The Text Retrieval Conference’s Contextual Suggestion Track investigates search techniques for compl...
<p>This paper presents our approach for the Contextual Suggestion track of 2014 Text REtrieval Confe...
In this paper we describe our efforts for TREC contex-tual suggestion task. Our goal of this year is...
This thesis examines techniques that can be used to evaluate systems that solve the complex task of ...
In this work, we give an overview of our participation in the TREC 2014 Contextual Suggestion Track....
In this paper we give an overview of the participation of the IRIT, GeoComp, and LIUPPA labs in the ...
Also published online by CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)Contextual suggestio...
This paper provides an overview of the work done at the Centrum Wiskunde & Informatica (CWI) and Del...
This paper provides an overview of our participation in the Contextual Suggestion Track. The TREC 20...
National audienceA large body of work in the information retrieval area has highlighted that relevan...
The challenge of providing personalized and contextually appropriate recommendations to a user is fa...
In this paper, we study the emerging Information Retrieval (IR) task of contextual suggestion in loc...
Personalized (mobile) devices are radically changing information access tools, with rich context all...
Venue recommendation aims to assist users by making personalised suggestions of venues to visit, bu...
Abstract. We report our participation in the contextual suggestion track of TREC 2014 for which we s...
The Text Retrieval Conference’s Contextual Suggestion Track investigates search techniques for compl...
<p>This paper presents our approach for the Contextual Suggestion track of 2014 Text REtrieval Confe...
In this paper we describe our efforts for TREC contex-tual suggestion task. Our goal of this year is...
This thesis examines techniques that can be used to evaluate systems that solve the complex task of ...