Hierarchical Aggregation of Consumer Ratings for Service Ecosystem

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.

[1]  James Bennett,et al.  The Netflix Prize , 2007 .

[2]  Michael Luca Reviews, Reputation, and Revenue: The Case of Yelp.Com , 2016 .

[3]  Fang Wu,et al.  How Public Opinion Forms , 2008, WINE.

[4]  Lei Li,et al.  A Subjective Probability Based Deductive Approach to Global Trust Evaluation in Composite Services , 2011, 2011 IEEE International Conference on Web Services.

[5]  Athman Bouguettaya,et al.  RATEWeb: Reputation Assessment for Trust Establishment among Web services , 2009, The VLDB Journal.

[6]  Carlo Ghezzi,et al.  Transparent Reputation Management for Composite Web Services , 2008, 2008 IEEE International Conference on Web Services.

[7]  Ragnar Norberg,et al.  Credibility Theory , 2004 .

[8]  Natalie S. Glance,et al.  Star Quality: Aggregating Reviews to Rank Products and Merchants , 2010, ICWSM.

[9]  Georg Lackermair,et al.  Importance of Online Product Reviews from a Consumer's Perspective , 2013 .

[10]  Athman Bouguettaya,et al.  Reputation Propagation in Composite Services , 2009, 2009 IEEE International Conference on Web Services.

[11]  Bharat K. Bhargava,et al.  RADical Strategies for Engineering Web-Scale Cloud Solutions , 2015, IEEE Cloud Computing.

[12]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[13]  Paul A. Pavlou,et al.  Overcoming the J-shaped distribution of product reviews , 2009, CACM.

[14]  Zibin Zheng,et al.  Evaluating Feedback Ratings for Measuring Reputation of Web Services , 2011, 2011 IEEE International Conference on Services Computing.

[15]  Boi Faltings,et al.  Aggregating Reputation Feedback , 2009 .

[16]  Panagiotis Symeonidis,et al.  Product recommendation and rating prediction based on multi-modal social networks , 2011, RecSys '11.