Model-based feedback in the language modeling approach to information retrieval
Proceedings of the tenth international conference on Information and knowledge management
A language modeling framework for expert finding
Information Processing and Management: an International Journal
Using relevance feedback in expert search
ECIR'07 Proceedings of the 29th European conference on IR research
Questions are content: a taxonomy of questions in a microblogging environment
Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Journal of the American Society for Information Science and Technology
Tweetflows: flexible workflows with twitter
Proceedings of the 3rd International Workshop on Principles of Engineering Service-Oriented Systems
Estimation methods for ranking recent information
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Semantic enrichment of twitter posts for user profile construction on the social web
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
Mining the interests of Chinese microbloggers via keyword extraction
Frontiers of Computer Science in China
TwitterEcho: a distributed focused crawler to support open research with twitter data
Proceedings of the 21st international conference companion on World Wide Web
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Generating event storylines from microblogs
Proceedings of the 21st ACM international conference on Information and knowledge management
Learning topical translation model for microblog hashtag suggestion
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Hybrid pseudo-relevance feedback for microblog retrieval
Journal of Information Science
Towards social data platform: automatic topic-focused monitor for twitter stream
Proceedings of the VLDB Endowment
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Microblog services let users broadcast brief textual messages to people who "follow" their activity. Often these posts contain terms called hashtags, markers of a post's meaning, audience, etc. This poster treats the following problem: given a user's stated topical interest, retrieve useful hashtags from microblog posts. Our premise is that a user interested in topic x might like to find hashtags that are often applied to posts about x. This poster proposes a language modeling approach to hashtag retrieval. The main contribution is a novel method of relevance feedback based on hashtags. The approach is tested on a corpus of data harvested from twitter.com.