Discovering shared interests using graph analysis
Communications of the ACM - Special issue on internetworking
A hidden Markov model information retrieval system
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
A general language model for information retrieval
Proceedings of the eighth international conference on Information and knowledge management
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Exploring discussion lists: steps and directions
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Email is a stage: discovering people roles from email archives
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
The Importance of Length Normalization for XML Retrieval
Information Retrieval
Better than the real thing?: iterative pseudo-query processing using cluster-based language models
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Multi-faceted information retrieval system for large scale email archives
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Searching for expertise in social networks: a simulation of potential strategies
GROUP '05 Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work
Finding experts and their eetails in e-mail corpora
Proceedings of the 15th international conference on World Wide Web
Contextual search and name disambiguation in email using graphs
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Improving the estimation of relevance models using large external corpora
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Regularized estimation of mixture models for robust pseudo-relevance feedback
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Extracting personal names from email: applying named entity recognition to informal text
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Retrieval and feedback models for blog feed search
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
A few examples go a long way: constructing query models from elaborate query formulations
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Network-based filtering for large email collections in E-discovery
Artificial Intelligence and Law
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
Hi-index | 0.00 |
In this paper we address the task of finding topically relevant email messages in public discussion lists. We make two important observations. First, email messages are not isolated, but are part of a larger online environment. This context, existing on different levels, can be incorporated into the retrieval model. We explore the use of thread, mailing list, and community content levels, by expanding our original query with term from these sources. We find that query models based on contextual information improve retrieval effectiveness. Second, email is a relatively informal genre, and therefore offers scope for incorporating techniques previously shown useful in searching user-generated content. Indeed, our experiments show that using query-independent features (email length, thread size, and text quality), implemented as priors, results in further improvements.