Topic-Sensitive PageRank: A Context-Sensitive Ranking Algorithm for Web Search
IEEE Transactions on Knowledge and Data Engineering
DBPL'07 Proceedings of the 11th international conference on Database programming languages
Changing flights in mid-air: a model for safely modifying continuous queries
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
TI: an efficient indexing mechanism for real-time search on tweets
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Tweets as data: demonstration of TweeQL and Twitinfo
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Processing and visualizing the data in tweets
ACM SIGMOD Record
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
Proceedings of the fifth ACM international conference on Web search and data mining
A tweet-centric approach for topic-specific author ranking in micro-blog
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Earlybird: Real-Time Search at Twitter
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
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Microblogs, although extremely peculiar pieces of data, constitute a very rich source of information, which has been widely exploited recently, thanks to the liberal access Twitter offers through its API. Nevertheless, computing relevant answers to general queries is still a very challenging task. We propose a new engine, the Twittering Machine, which evaluates SQL like queries on streams of tweets, using ranking techniques computed at query time. Our algorithm is real time, it produces streams of results which are refined progressively, adaptive, the queries continuously adapt to new trends, invasive, it interacts with Twitter by suggesting relevant users to follow, and query results to publish as tweets. Moreover it works in a decentralized environment, directly in the browser on the client side, making it easy to use, and server independent.