Analysis of a very large web search engine query log
ACM SIGIR Forum
Hourly analysis of a very large topically categorized web query log
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Web searcher interaction with the Dogpile.com metasearch engine
Journal of the American Society for Information Science and Technology
Classifying ecommerce information sharing behaviour by youths on social networking sites
Journal of Information Science
TI: an efficient indexing mechanism for real-time search on tweets
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Real time search on the web: Queries, topics, and economic value
Information Processing and Management: an International Journal
A scalable real-time search engine for fast retrieval of social media content
Proceedings of the 2nd international workshop on Ubiquitous crowdsouring
Looking for non-existent information: a consumer-led interactive search approach
BCS-HCI '11 Proceedings of the 25th BCS Conference on Human-Computer Interaction
Pollux: towards scalable distributed real-time search on microblogs
Proceedings of the 16th International Conference on Extending Database Technology
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Real time search is an increasingly important area of information seeking on the Web. In this research, we analyze 1,005,296 user interactions with a real time search engine over a 190 day period. We investigate aggregate usage of the search engine, such as number of users, queries, and terms. We also investigate the structure of queries and terms submitted by these users. The results are compared to Web searching on traditional search engines. Results show that 60% of the traffic comes from the engine's application program interface, indicating that real time search is heavily leveraged by other applications. Of the queries, 30% were unique (used only once in the entire dataset). The most frequent query accounted for 0.003% of the query set. Less than 8% of the terms were unique. The most frequently used terms accounted for only 0.03% of the total terms. Concerning search topics, the most used terms dealt with technology, entertainment, and politics, reflecting both the temporal nature of the queries and, perhaps, an early adopter user-based. Sexual queries were quite low, relative to traditional Web search. Searchers of real time content often repeat queries overtime, perhaps indicating long term interest in a topic. We discuss the implications for search engines and information providers as real time content increasingly enters the main stream.