DocumentCode :
3093778
Title :
A Comparison of Social Service Selection Techniques
Author :
Billionniere, Elodie ; Greiman, David ; Gosha, Kinnis
Author_Institution :
Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA
fYear :
2009
fDate :
12-14 Dec. 2009
Firstpage :
260
Lastpage :
265
Abstract :
This paper compares social service selection techniques and analyzes the advantages and disadvantages of several approaches. We support our analysis with recent social service studies as well as exploring studies of commercial usage such as eBay, Amazon, etc. The three traditional areas of social service selection-reputation, recommender, and referral-will be the areas compared in detail. Service selection techniques often return a single value representing the rank of a service. Users of the service, however, may not always have identical needs and may be interested in ratings based on multiple categories. We feel this is an important aspect when comparing social service selection techniques. To address this, our investigation will also include examining the issues of adding quality of service (QoS) factors with social service selection.
Keywords :
Web services; information retrieval; public administration; quality of service; recommender systems; QoS; quality of service; recommender system; service oriented computing; social service selection techniques; Analytical models; Appropriate technology; Computer science; Concrete; Isolation technology; Navigation; Quality of service; quality of service; recommender; referral; reputation; service ratings; service selection; social service; trusted service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
Type :
conf
DOI :
10.1109/DASC.2009.24
Filename :
5380348
Link To Document :
بازگشت