The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Machine Learning
Combating web spam with trustrank
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Ranking Approaches for Microblog Search
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
#TwitterSearch: a comparison of microblog search and web search
Proceedings of the fourth ACM international conference on Web search and data mining
SourceRank: relevance and trust assessment for deep web sources based on inter-source agreement
Proceedings of the 20th international conference on World wide web
Information credibility on twitter
Proceedings of the 20th international conference on World wide web
TURank: twitter user ranking based on user-tweet graph analysis
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Part-of-speech tagging for Twitter: annotation, features, and experiments
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Heterogeneous network-based trust analysis: a survey
ACM SIGKDD Explorations Newsletter
Finding interesting posts in Twitter based on retweet graph analysis
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Quality models for microblog retrieval
Proceedings of the 21st ACM international conference on Information and knowledge management
Measuring user credibility in social media
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
Featured Tweet Search: Modeling Time and Social Influence for Microblog Retrieval
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Hi-index | 0.00 |
The increasing popularity of Twitter renders improved trust- worthiness and relevance assessment of tweets much more important for search. However, given the limitations on the size of tweets, it is hard to extract measures for ranking from the tweets? content alone. We present a novel ranking method called RAProp, which combines two orthogonal measures of relevance and trustworthiness of a tweet. The first, called Feature Score, measures the trustworthiness of the source of the tweet by extracting features from a 3-layer Twitter ecosystem consisting of users, tweets and webpages. The second measure, called agreement analysis, estimates the trustworthiness of the content of a tweet by analyzing whether the content is independently corroborated by other tweets. We view the candidate result set of tweets as the vertices of a graph, with the edges measuring the estimated agreement between each pair of tweets. The feature score is propagated over this agreement graph to compute the top-k tweets that have both trustworthy sources and independent corroboration. The evaluation of our method on 16 million tweets from the TREC 2011 Microblog Dataset shows that for top-30 precision, we achieve 53% better precision than the current best performing method on the data set, and an improvement of 300% over current Twitter Search.