User-centered filtering and document ranking

Author

Woo, Seon-Mi ; Yoo, Chun-Sik ; Kim, Yong-Sung

Author_Institution

Dept. of Comput. Sci., Chonbuk Nat. Univ., Chonju, South Korea

Volume

2

fYear

1999

fDate

36495

Firstpage

1059

Abstract

Currently, the need for information retrieval systems that provide relevant information for specific users is emerging. However, the information retrieval systems of today are rather weak in the respect of reflecting the user´s preferences and offering relevant ranked documents. Thus, we propose a method for filtering and document ranking using a user profile and latent structure analysis in order to provide more relevant results that are ordered by relevance. The user profile reflects the preferences of the specific user. We explain our method with examples

Keywords

data reduction; information retrieval systems; online front-ends; personal information systems; relevance feedback; sorting; user modelling; document ranking; latent structure analysis; relevant information; user preferences; user profile; user-centred information filtering; user-specific information retrieval systems; Computer science; Feedback; Filtering theory; Information filtering; Information filters; Information retrieval; Machine learning; Matched filters; Statistical analysis; Thesauri;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 99. Proceedings of the IEEE Region 10 Conference

Conference_Location

Cheju Island

Print_ISBN

0-7803-5739-6

Type

conf

DOI

10.1109/TENCON.1999.818605

Filename

818605