BibSonomy :: bibtex  ::

tag user group author concept BibTeX key search:all search:lorcan
A blue social bookmark and publication sharing system.
tags · relations · groups · popular
help · blog · about
login · register
lorcan's BibTeX entry:  

A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers

Advances in Case-Based Reasoning, 6th European Conference, ECCBR 2002 Aberdeen, Scotland, UK, September 4-7, 2002, Proceedings, : 505--518, 2002.
Authors: Lorcan Coyle and P{\'a}draig Cunningham and Conor Hayes
Editors: Susan Craw and Alun D. Preece
URL: https://www.cs.tcd.ie/publications/tech-reports/reports.02/TCD-CS-2002-17.pdf
Description: Lorcan Coyle's Bibliography
Tags: agents cbr fipa machine_learning personalisation recommender_systems
Abstract: This paper describes a case-based approach to user profiling in a Personal Travel assistant (based on the 1998 FIPA Travel Scenario). The approach is novel in that the user profile is made up of a set of cases capturing previous interactions rather than as a single composite case. This has the advantage that the profile is always up-to-date and also allows for the borrowing of cases from similar users when coverage is poor. Profile data is retrieved from a database in an XML format and loaded into a case-retrieval net in memory. This case-retrieval net is then used to support the two key tasks of requirements elaboration and ranking offers.
| URL | BibTeX  
@inproceedings{Coyle2002Case,
title = {A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers},
author = {Lorcan Coyle and P{\'a}draig Cunningham and Conor Hayes},
booktitle = {Advances in Case-Based Reasoning, 6th European Conference, ECCBR 2002 Aberdeen, Scotland, UK, September 4-7, 2002, Proceedings},
editor = {Susan Craw and Alun D. Preece},
pages = {505--518},
publisher = {Springer},
url = {https://www.cs.tcd.ie/publications/tech-reports/reports.02/TCD-CS-2002-17.pdf},
year = {2002},
description = {Lorcan Coyle's Bibliography},
abstract = {This paper describes a case-based approach to user profiling in a Personal Travel assistant (based on the 1998 FIPA Travel Scenario). The approach is novel in that the user profile is made up of a set of cases capturing previous interactions rather than as a single composite case. This has the advantage that the profile is always up-to-date and also allows for the borrowing of cases from similar users when coverage is poor. Profile data is retrieved from a database in an XML format and loaded into a case-retrieval net in memory. This case-retrieval net is then used to support the two key tasks of requirements elaboration and ranking offers.},
keywords = {agents cbr fipa machine_learning personalisation recommender_systems }
}