Paper Info
Title
A Context-Aware Mobile User Behavior Based Preference Neighbor Finding Approach for Personalized Information Retrieval
Abstract
This paper adopts a new approach to searching the users with similarinterests by mobile network services instead of by desktop users. First, the direct trustis calculated based on the mobile users’ behavior andthe weight of the corresponding context (time and position), then an indirect trust degree calculation method is proposed according to the propagationdistance based on the theory of the six degrees of separation; secondly this paper further uses the evaluation score about a certain mobile web service given by a mobile user to calculate the preference similarity degree between different users. Finally based on the time attenuation functionit tries to find the users with similar preference,so as to make use of the neighbor users’ preference profile to dynamicallyupdate the target user's preference profile. Simulation shows that the proposed approach outperformspure sliding window methodand pure forgetting strategy method which fail totake the context mobile information into considerationin terms of Recall Ratio and Precision Ratio.
Year
DOI
Venue
2015
10.1016/j.procs.2015.07.237
Procedia Computer Science
Keywords
Field
DocType
Multi-Agent,Context,Trust Degree,Interest Similarity Degree,Time Attenuation ,
Data mining,Neighbor finding,Forgetting,Six degrees of separation,Sliding window protocol,Information retrieval,Computer science,Cellular network,Mobile Web,Recall
Conference
Volume
ISSN
Citations 
56
1877-0509
2
PageRank 
References 
Authors
0.37
2
3
Name
Order
Citations
PageRank
qian gao143.43
Xiangjun Dong25912.26
Deqian Fu374.51