Title :
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
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;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818605
