Type

Conference Proceedings

Authors

Gabriella Pasi
Gareth J.F. Jones
Debasis Ganguly
Camilla Sanvitto

Subjects

Computer Science

Topics
information retrieval approaches ir test collections laboratory based evaluation personalised search comparative test collection development information retrieval systems

A laboratory-based method for the evaluation of personalised search (2016)

Abstract Comparative evaluation of Information Retrieval Systems (IRSs) using publically available test collections has become an established practice in Information Retrieval (IR). By means of the popular Cranfield evaluation paradigm IR test collections enable researchers to compare new methods to existing approaches. An important area of IR research where this strategy has not been applied to date is Personalised Information Retrieval (PIR), which has generally relied on user-based evaluations. This paper describes a method that enables the creation of publically available extended test collections to allow repeatable laboratory-based evaluation of personalised search.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: ADAPT
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval

Full list of authors on original publication

Gabriella Pasi, Gareth J.F. Jones, Debasis Ganguly, Camilla Sanvitto

Experts in our system

1
Gabriella Pasi
Dublin City University
Total Publications: 3
 
2
Gareth J. F. Jones
Dublin City University
Total Publications: 297
 
3
Debasis Ganguly
Dublin City University
Total Publications: 40
 
4
Camilla Sanvitto
Dublin City University
Total Publications: 3