Title :
Personalized domain-specific search engine
Author :
Zhang, Lei ; Peng, Yong ; Meng, Xiangwu ; Guo, Jie
Author_Institution :
State Key Lab. of Networking & Switching, Beijing Univ. of Posts & Telecommun., Beijing
Abstract :
As web information expands, personalized vertical search engine plays a more and more important role in search industry. With ldquobeing the best in specialized personalization domain utilizationrdquo in mind, we develop personalized domain-specific search engine (114 PDSE, or 114). We introduce domain-specific effective and efficient Chinese segmentation based on multi-grading thesauruses as the base for industrial demand acquirement and index building, Next, as another key point of our paper, we present our methods of personalized search in domain utility, to differentiate the interests of terms in userpsilas each query based on domain interest profile which is acquired recurring to user-based collaborative filtering methods and statistics on queries. The reported experiments indicate that 114 PDSE holds the promise of supplying high match-degree search results in personalized domain utility well-pleasingly.
Keywords :
Internet; information filtering; natural language processing; search engines; thesauri; Chinese segmentation; Web information expands; domain interest profile; index building; industrial demand acquirement; multigrading thesauruses; personalization domain utilization; personalized domain-specific search engine; personalized vertical search engine; user-based collaborative filtering methods; Collaboration; Communication switching; Databases; Feedback; Filtering; Information retrieval; Laboratories; Navigation; Search engines; Statistics;
Conference_Titel :
Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
Conference_Location :
Daejeon
Print_ISBN :
978-1-4244-2170-1
Electronic_ISBN :
1935-4576
DOI :
10.1109/INDIN.2008.4618305