Task-centric document recommendation via context-specific terms

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Scopus Citations
Scopus Metrics
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Title of host publicationAAAI Workshop - Technical Report
Pages38-43
VolumeWS-06-12
Publication statusPublished - 2006
Externally publishedYes

Publication series

Name
VolumeWS-06-12

Conference

Title2006 AAAI Workshop
PlaceUnited States
CityBoston, MA
Period16 - 17 July 2006

Link(s)

Check@CityULib
Link to Scopus https://www.scopus.com/record/display.uri?eid=2-s2.0-33847644923&origin=recordpage
Permanent Link https://scholars.cityu.edu.hk/en/publications/publication(bf33fa1a-e511-47d7-9a9a-71deb9495c2a).html

Abstract

Context-specific document recommender systems rely on the accurate identification of context descriptors from unstructured textual information to identify highly relevant documents. In this paper, we propose two term-weighting measures, "normal distance" and "adjusted inverse polysemy", to enable the retrieval of relevant documents with higher precision. We analyze the performance of the proposed measures and present results with respect to a domain-specific corpus.

Fingerprint

Publication fingerprints text

100
Document Recommenda... Keyphrases
100
Specific Terms Keyphrases
100
Relevant Documents Keyphrases
100
information INIS
100
performance INIS
100
distance INIS
100
recommendations INIS
100
precision INIS
100
Context Computer Science
100
Centric Document Computer Science
Full Fingerprint ›

Citation Format(s)

[ RIS ] [ BibTeX ]
Task-centric document recommendation via context-specific terms. / Sarnikar, Surendra; Zliao, J. Leon.
AAAI Workshop - Technical Report. Vol. WS-06-12 2006. p. 38-43.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review