A personalized recommendation model based on the user-state awareness

Author

Ji, Teng ; Tuo-Yu, Pan ; Zhen-Min, Zhu ; Kai, Lu

Author_Institution

Sch. of Inf. Eng., Xiangtan Univ., Xiangtan, China

fYear

2009

fDate

23-24 Aug. 2009

Firstpage

10

Lastpage

13

Abstract

Major recommendation systems don´t consider the user´s current composite state in time. And also they do not consider the affect on the recommendation results when the user updates the context. In the process of analyzing the user´s interests and preferences, it is not enough to determine the user state only based on the browsing records about the user, so more context information from the user´s current activity is need excavated. In this paper, a personalized recommendation model based on the user-state awareness is proposed. Through the complement of the user-state perception, the recommendation system is more intelligent and has a higher service quality.

Keywords

information filtering; personal computing; quality of service; personalized recommendation model; quality service; user-state awareness; user-state perception; Computers; Context modeling; Context-aware services; Frequency; Indexing; Information analysis; Intelligent systems; Postal services; Text categorization; Web pages; activity-based computing; composite information; context-aware computing; recommendation model; user state;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Society, 2009. SWS '09. 1st IEEE Symposium on

Conference_Location

Lanzhou

Print_ISBN

978-1-4244-4157-0

Electronic_ISBN

978-1-4244-4158-7

Type

conf

DOI

10.1109/SWS.2009.5271728

Filename

5271728