DocumentCode :
1613061
Title :
Hierarchical Aggregation of Consumer Ratings for Service Ecosystem
Author :
Ranchal, Rohit ; Mohindra, Ajay ; Nianjun Zhou ; Kapoor, Shubir ; Bhargava, Bharat
Author_Institution :
Comput. Sci. & CERIAS, Purdue Univ., West Lafayette, IN, USA
fYear :
2015
Firstpage :
575
Lastpage :
582
Abstract :
With the wide availability of products and services through popular e-commerce platforms and dozens of similar offerings to choose from, there is a need to accurately assess and evaluate the quality of offerings. Several studies have shown that consumer feedback is an important source of information. This paper presents: (a) consumer Rating as a Service (RaaS) -- a building block service that can be used to add the consumer feedback lifecycle feature in the development of e-commerce platforms, (b) an approach to evaluate the quality of composite offerings based on the aggregation of consumer ratings using the composition structure and component relationships. Benefits of the proposed service include reduced development effort, shorter delivery time and a fine-grained aggregation of consumer ratings for composite offerings even with limited ratings.
Keywords :
cloud computing; consumer behaviour; electronic commerce; RaaS; building block service; cloud computing; consumer feedback lifecycle feature; consumer rating as a service; e-commerce platform; hierarchical aggregation; service ecosystem; Aggregates; Context; IEEE catalogs; Motion pictures; Planning; Service-oriented architecture; cloud computing; composite service; consumer feedback; rating aggregation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Web Services (ICWS), 2015 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
978-1-4673-7271-8
Type :
conf
DOI :
10.1109/ICWS.2015.82
Filename :
7195617
Link To Document :
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