TY - BOOK
T1 - Trust for Intelligent Recommendation
AU - Bhuiyan, Touhid
PY - 2013
Y1 - 2013
N2 - Abstract In this literature review, we have addressed the fundamentals of trust and reputation, in terms of an online environment. The literature review has progressed to defining the problem domain. We have realized that it is crucial to proactively carry out this research while online service technologies and platforms are still being developed. It will be very difficult to start integrating soft security solutions into online service technologies after the online service trust problems start emerging. Online systems are currently integrated into many information systems providing online services, where people can rate each other, or rate products and services offered and express their feedback as opinions about prod- ucts and services offered either online or through the physical world. However, the field of online services trusts management in the recommender system is relatively new and different, addressing the demand for automated decision support in increasingly dynamic business to business (B2B) relationships. Some areas have not been reviewed in depth, such as how trust can be propagated through the web- based social network and how trust can be used to improve the automated rec- ommendation quality. More investigation is required to develop trust management technology for online markets, including improvement in trust inference tech- niques and the methods for assessing the quality of recommendation related to trust and reliability.
AB - Abstract In this literature review, we have addressed the fundamentals of trust and reputation, in terms of an online environment. The literature review has progressed to defining the problem domain. We have realized that it is crucial to proactively carry out this research while online service technologies and platforms are still being developed. It will be very difficult to start integrating soft security solutions into online service technologies after the online service trust problems start emerging. Online systems are currently integrated into many information systems providing online services, where people can rate each other, or rate products and services offered and express their feedback as opinions about prod- ucts and services offered either online or through the physical world. However, the field of online services trusts management in the recommender system is relatively new and different, addressing the demand for automated decision support in increasingly dynamic business to business (B2B) relationships. Some areas have not been reviewed in depth, such as how trust can be propagated through the web- based social network and how trust can be used to improve the automated rec- ommendation quality. More investigation is required to develop trust management technology for online markets, including improvement in trust inference tech- niques and the methods for assessing the quality of recommendation related to trust and reliability.
KW - Recommender systems Social networks
UR - http://link.springer.com/10.1007/978-1-4614-6895-0
U2 - 10.1007/978-1-4614-6895-0
DO - 10.1007/978-1-4614-6895-0
M3 - Book
SN - 978-1-4614-6894-3
T3 - SpringerBriefs in Electrical and Computer Engineering
BT - Trust for Intelligent Recommendation
ER -