TY - GEN
T1 - Adopting Inference Networks for Online Thread Retrieval
AU - Bhatia, Sumit
AU - Mitra, Prasenjit
N1 - Publisher Copyright:
© 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2010/7/15
Y1 - 2010/7/15
N2 - Online forums contain valuable human-generated information. End-users looking for information would like to find only those threads in forums where relevant information is present. Due to the distinctive characteristics of forum pages from generic web pages, special techniques are required to organize and search for information in these forums. Threads and pages in forums are different from other webpages in their hyperlinking patterns. Forum posts also have associated social and non-textual metadata. In this paper, we propose a model for online thread retrieval based on inference networks that utilizes the structural properties of forum threads. We also investigate the effects of incorporating various relevance indicators in our model. We empirically show the effectiveness of our proposed model using real-world data.
AB - Online forums contain valuable human-generated information. End-users looking for information would like to find only those threads in forums where relevant information is present. Due to the distinctive characteristics of forum pages from generic web pages, special techniques are required to organize and search for information in these forums. Threads and pages in forums are different from other webpages in their hyperlinking patterns. Forum posts also have associated social and non-textual metadata. In this paper, we propose a model for online thread retrieval based on inference networks that utilizes the structural properties of forum threads. We also investigate the effects of incorporating various relevance indicators in our model. We empirically show the effectiveness of our proposed model using real-world data.
UR - http://www.scopus.com/inward/record.url?scp=80052122302&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80052122302&partnerID=8YFLogxK
U2 - 10.1609/aaai.v24i1.7521
DO - 10.1609/aaai.v24i1.7521
M3 - Conference contribution
AN - SCOPUS:80052122302
T3 - Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010
SP - 1300
EP - 1305
BT - Proceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010
PB - AAAI press
T2 - 24th AAAI Conference on Artificial Intelligence, AAAI 2010
Y2 - 11 July 2010 through 15 July 2010
ER -