Task-centric document recommendation via context-specific terms

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

1 Scopus Citations
View graph of relations

Author(s)

Detail(s)

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

Publication series

Name
VolumeWS-06-12

Conference

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

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.

Citation Format(s)

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: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)