Academic web search engine: generating a survey automatically

Ye Wang, Zhihua Geng, Sheng Huang, Xiaoling Wang, Aoying Zhou

Abstract: Given a document repository, search engine is very helpful to retrieve information. Currently, vertical search is a hot topic, and Google Scholar [4] is an example for academic search. However, most vertical search engines only return the flat ranked list without an efficient result exhibition for given users. We study this problem and designed a vertical search engine prototype Dolphin, where the flexible user-oriented templates can be defined and the survey-like results are presented according to the template.