| dc.contributor.advisor | Wade, Vincent | |
| dc.contributor.author | Steichen, Ben | |
| dc.date.accessioned | 2019-11-14T14:55:43Z | |
| dc.date.available | 2019-11-14T14:55:43Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Ben Steichen, 'Adaptive retrieval, composition & presentation of closed-corpus and open-corpus information', [thesis], Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012, pp 259 | |
| dc.identifier.other | THESIS 10020 | |
| dc.identifier.uri | http://hdl.handle.net/2262/90614 | |
| dc.description.abstract | A key challenge for information access systems lies in their ability to deliver
information that is most suited to a user's needs, preferences and context. Personalised
Information Retrieval (PIR) seeks to address this challenge by tailoring the selection of
results to each individual user. Such PIR systems typically generate adaptive result
rankings based on historic user interests or location properties. | |
| dc.format | 1 volume | |
| dc.language.iso | en | |
| dc.publisher | Trinity College (Dublin, Ireland). School of Computer Science & Statistics | |
| dc.relation.isversionof | http://stella.catalogue.tcd.ie/iii/encore/record/C__Rb15349563 | |
| dc.subject | Computer Science, Ph.D. | |
| dc.subject | Ph.D. Trinity College Dublin. | |
| dc.title | Adaptive retrieval, composition & presentation of closed-corpus and open-corpus information | |
| dc.type | thesis | |
| dc.type.supercollection | thesis_dissertations | |
| dc.type.supercollection | refereed_publications | |
| dc.type.qualificationlevel | Doctoral | |
| dc.type.qualificationname | Doctor of Philosophy (Ph.D.) | |
| dc.rights.ecaccessrights | openAccess | |
| dc.format.extentpagination | pp 259 | |
| dc.description.note | TARA (Trinity’s Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie | |
