Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Language Modeling for Information Retrieval
Language Modeling for Information Retrieval
Cluster-based retrieval using language models
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Learning effective ranking functions for newsgroup search
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Retrieval and feedback models for blog feed search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Finding question-answer pairs from online forums
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Blog site search using resource selection
Proceedings of the 17th ACM conference on Information and knowledge management
It pays to be picky: an evaluation of thread retrieval in online forums
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Hierarchical language models for XML component retrieval
INEX'04 Proceedings of the Third international conference on Initiative for the Evaluation of XML Retrieval
Geometric representations for multiple documents
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Intelligent linux information access by data mining: the ILIAD project
WSA '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
Tagging and linking web forum posts
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Shopping for top forums: discovering online discussion for product research
Proceedings of the First Workshop on Social Media Analytics
TI: an efficient indexing mechanism for real-time search on tweets
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Exploiting thread structures to improve smoothing of language models for forum post retrieval
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Learning online discussion structures by conditional random fields
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Predicting thread discourse structure over technical web forums
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Conversation retrieval for microblogging sites
Information Retrieval
Retrieving similar discussion forum threads: a structure based approach
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Mixed membership Markov models for unsupervised conversation modeling
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
I want what i need!: analyzing subjectivity of online forum threads
Proceedings of the 21st ACM international conference on Information and knowledge management
Patient-Centered information extraction for effective search on healthcare forum
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Predicting subjectivity orientation of online forum threads
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Exploiting Forum Thread Structures to Improve Thread Clustering
Proceedings of the 2013 Conference on the Theory of Information Retrieval
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Online communities are valuable information sources where knowledge is accumulated by interactions between people. Search services provided by online community sites such as forums are often, however, quite poor. To address this, we investigate retrieval techniques that exploit the hierarchical thread structures in community sites. Since these structures are sometimes not explicit or accurately annotated, we use structure discovery techniques. We then make use of thread structures in retrieval experiments. Our results show that using thread structures that have been accurately annotated can lead to significant improvements in retrieval performance compared to strong baselines.