TY - GEN
T1 - Improving identification of latent user goals through search-result snippet classification
AU - He, Kuan Yu
AU - Chang, Yao Sheng
AU - Lu, Wen Hsiang
PY - 2007
Y1 - 2007
N2 - In this paper, we propose an enhanced approach to improving our previous method which employs syntactic structures (verb-object pairs) to identify latent user goals. Our new approach employs a supervised-learning method to learn hint verbs and considers URL information and title information to classify snippets into three coarse categories, which are resource-seeking, informational, and navigational. Also, we propose three different models to identify three different categories of specific latent user goals from the classified snippets.
AB - In this paper, we propose an enhanced approach to improving our previous method which employs syntactic structures (verb-object pairs) to identify latent user goals. Our new approach employs a supervised-learning method to learn hint verbs and considers URL information and title information to classify snippets into three coarse categories, which are resource-seeking, informational, and navigational. Also, we propose three different models to identify three different categories of specific latent user goals from the classified snippets.
UR - http://www.scopus.com/inward/record.url?scp=48349121664&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349121664&partnerID=8YFLogxK
U2 - 10.1109/WI.2007.4427173
DO - 10.1109/WI.2007.4427173
M3 - Conference contribution
AN - SCOPUS:48349121664
SN - 0769530265
SN - 9780769530260
T3 - Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
SP - 683
EP - 686
BT - Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
T2 - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007
Y2 - 2 November 2007 through 5 November 2007
ER -