TY - GEN
T1 - An empirical study of learning-based web search
AU - Zhou, Aoying
AU - Fang, Xiong
AU - Qian, Weining
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
PY - 2002
Y1 - 2002
N2 - Although there are various approaches to facilitate the information search on the Web, most current Web search and query systems only return URLs of relevant pages. Learning-based Web search is invented targeting at processing the URLs to dig out the desired information by utilizing user feedback. However, the involvement of user behavior makes the study of system performance rather complex. In this paper, we introduce the empirical study of a learning-based Web query processing system, named FACT. Four major aspects of user behavior, namely, selection rule, training strategy, training size and training iteration, are considered to show their effects on the learning results. The experimental results are presented, together with analysis for the relationships between user behavior and system performance, which are important for further improvement on learning-based Web search technology.
AB - Although there are various approaches to facilitate the information search on the Web, most current Web search and query systems only return URLs of relevant pages. Learning-based Web search is invented targeting at processing the URLs to dig out the desired information by utilizing user feedback. However, the involvement of user behavior makes the study of system performance rather complex. In this paper, we introduce the empirical study of a learning-based Web query processing system, named FACT. Four major aspects of user behavior, namely, selection rule, training strategy, training size and training iteration, are considered to show their effects on the learning results. The experimental results are presented, together with analysis for the relationships between user behavior and system performance, which are important for further improvement on learning-based Web search technology.
UR - https://www.scopus.com/pages/publications/84944046976
U2 - 10.1007/3-540-45703-8_11
DO - 10.1007/3-540-45703-8_11
M3 - 会议稿件
AN - SCOPUS:84944046976
SN - 9783540440451
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 116
EP - 125
BT - Advances in Web-Age Information Management - 3rd International Conference, WAIM 2002, Proceedings
A2 - Meng, Xiaofeng
A2 - Su, Jianwen
A2 - Wang, Yujun
PB - Springer Verlag
T2 - 3rd International Conference on Advances in Web-Age Information Management, WAIM 2002
Y2 - 11 August 2002 through 13 August 2002
ER -