TY - GEN
T1 - Applying user feedback and query learning methods to multiple communities
AU - Mine, Tsunenori
AU - Kobayashi, Hirotake
PY - 2009/12/1
Y1 - 2009/12/1
N2 - This paper proposes a novel Peer-to-Peer Information Retrieval (P2PIR) method using user feedback and query-learning. The method actively utilizes negative feedback information so that other agents can filter it out when retrieving it. The proposed method effectively increases retrieval accuracy and decreases communication loads required for document retrieval in communities. The experiments were carried out on multiple communities constructed with multi-agent framework Kodama [1]. The experimental results illustrated the validity of our proposed method.
AB - This paper proposes a novel Peer-to-Peer Information Retrieval (P2PIR) method using user feedback and query-learning. The method actively utilizes negative feedback information so that other agents can filter it out when retrieving it. The proposed method effectively increases retrieval accuracy and decreases communication loads required for document retrieval in communities. The experiments were carried out on multiple communities constructed with multi-agent framework Kodama [1]. The experimental results illustrated the validity of our proposed method.
UR - http://www.scopus.com/inward/record.url?scp=76649101468&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=76649101468&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-11161-7_19
DO - 10.1007/978-3-642-11161-7_19
M3 - Conference contribution
AN - SCOPUS:76649101468
SN - 3642111602
SN - 9783642111600
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 276
EP - 291
BT - Principles of Practice in Multi-Agent Systems - 12th International Conference, PRIMA 2009, Proceedings
T2 - 12th International Conference on Principles of Practice in Multi-Agent Systems, PRIMA 2009
Y2 - 14 December 2009 through 16 December 2009
ER -