Paper Info
Title
A context-aware recommender system for M-commerce applications
Abstract
M-commerce is an attractive research area due to its relative novelty, rapid growth, and great potential in business applications. However, the development of M-commerce applications is facing with some physical constraints of mobile devices and barriers of existing execution models. Moreover, the nomadic users might consume enormous time to search for satisfactory products or services from abundant options with the limited capability of physical devices. Therefore, a sophisticated recommendation algorithm which attempts to recommend a list of user-preferred products or services should be incorporated in M-commerce applications. In this paper, we propose a personalized Context-aware M-commerce Recommender System which exploits the advantages of collaborative filtering and common understanding of contextual information. Since the recommendation algorithm is embedded in a layered system and closed related with other system components, we will present a comprehensive framework to integrate the concepts of mobile agent, ontology-based context model as well as service discovery and selection mechanism. We have developed a prototype to evaluate the feasibility and effectiveness of our proposal.
Year
DOI
Venue
2011
10.1007/978-3-642-23620-4_25
AMT
Keywords
Field
DocType
m-commerce application,recommendation algorithm,physical device,physical constraint,context-aware recommender system,mobile device,mobile agent,system component,personalized context-aware m-commerce recommender,sophisticated recommendation algorithm,layered system
Recommender system,Data mining,World Wide Web,Collaborative filtering,Computer science,Mobile agent,Context model,Exploit,Mobile device,Service discovery,Mobile commerce
Conference
Citations 
PageRank 
References 
2
0.36
18
Authors
7
Name
Order
Citations
PageRank
Jiazao Lin1156.32
Xining Li27417.20
Yi Yang3143.59
Li Liu463447.50
Wenqiang Guo5122.46
Xin Li620.36
Lian Li718940.80