Title :
Abstract Recommendation with Assistance of Interactive User Profile Extraction
Author :
Feng, Haodi ; Liu, Hong ; Lu, Shenpeng
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Abstract :
Abstraction and user-profile-based search are two important topics in information retrieval. In this paper, we combine these two problems together, and present a user-profile-based meta search system with which the user can read the abstracts of preferred documents. The user profile is represented as list of words, which are either given directly by the user or generated automatically by the system from the user´s reading history.
Keywords :
information retrieval; meta data; abstract recommendation; information retrieval; interactive user profile extraction; meta search system; user reading history; Abstracts; Data mining; Feedback; History; Information retrieval; Internet; Metasearch; Search engines; Semantic Web; Web pages; abstraction; meta-search; user profile;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.100
