TY - GEN
T1 - A framework of a recommendation system utilizing expert groups on a social network
AU - Lin, Tzong Shyan
AU - Lin, Chun-Cheng
PY - 2011
Y1 - 2011
N2 - A social network is used as a mechanism to link people together to solicit and relay recommendations from one another. However, in a large social network where most people would have hundreds of acquaintances and millions of people within the social network, relying solely on the recommendations obtained through a search that involves a significant number of people within a network, which may not be the most practical and economical option. A solution to this is to limit the number of people between two people within a social network, between the person soliciting a recommendation and a person potentially providing a recommendation. To compensate for the potential loss of recommendations as a result of the limit, a mechanism to compliment the recommendation system, known as expert groups, is created. Expert groups are a collection of people with a common expertise in a common knowledge area and a certain degree of like-mindedness. People within these expert groups can provide recommendations on issues within the common knowledge area. The proposed framework uses software agents to model the behavior of people when soliciting recommendations and providing recommendations.
AB - A social network is used as a mechanism to link people together to solicit and relay recommendations from one another. However, in a large social network where most people would have hundreds of acquaintances and millions of people within the social network, relying solely on the recommendations obtained through a search that involves a significant number of people within a network, which may not be the most practical and economical option. A solution to this is to limit the number of people between two people within a social network, between the person soliciting a recommendation and a person potentially providing a recommendation. To compensate for the potential loss of recommendations as a result of the limit, a mechanism to compliment the recommendation system, known as expert groups, is created. Expert groups are a collection of people with a common expertise in a common knowledge area and a certain degree of like-mindedness. People within these expert groups can provide recommendations on issues within the common knowledge area. The proposed framework uses software agents to model the behavior of people when soliciting recommendations and providing recommendations.
KW - Recommendation system
KW - expert group
KW - social network
KW - trust score
UR - http://www.scopus.com/inward/record.url?scp=80655142474&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-23948-9_33
DO - 10.1007/978-3-642-23948-9_33
M3 - Conference contribution
AN - SCOPUS:80655142474
SN - 9783642239472
T3 - Communications in Computer and Information Science
SP - 297
EP - 306
BT - Security-Enriched Urban Computing and Smart Grid - Second International Conference, SUComS 2011, Proceedings
T2 - 2nd International Conference on the Emerging Areas of Security-Enriched Urban Computing and Smart Grids, SUComS 2011
Y2 - 21 September 2011 through 23 September 2011
ER -