Title :
Learning User Profile in the Personalization News Service
Author :
Zhou, Yan-quan ; Hu, Ying-fei ; He, Hua-Can
Author_Institution :
Sch. of Inf. Eng., Beijing Univ. of Posts & Telecommun., Beijing
fDate :
Aug. 30 2007-Sept. 1 2007
Abstract :
The model for precise description and measurement of user profile was studied through adopting the technology of knowledge discovery from database. The news browsing manner of users was analyzed, while news similarity was computed based on users´ reading style, then the model for user profile was generated by the mining algorithm. The experiments showed that this model worked very well in describing user profile and promoted efficiency of personalized news service system.
Keywords :
data mining; knowledge discovery; mining algorithm; news browsing manner; personalization news service; user profile learning; Algorithm design and analysis; Data engineering; Databases; Electronic mail; Feedback; Heart; Helium; Knowledge engineering; Telecommunication computing; Web and internet services;
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2007. NLP-KE 2007. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1610-3
Electronic_ISBN :
978-1-4244-1611-0
DOI :
10.1109/NLPKE.2007.4368075
