@incollection{millen2007social,
  abstract = {In this paper, we explore various search tasks that are supported by a social bookmarking service. These bookmarking services hold great potential to powerfully combine personal tagging of information sources with interactive browsing, resulting in better social navigation. While there has been considerable interest in social tagging systems in recent years, little is known about their actual usage. In this paper, we present the results of a field study of a social bookmarking service that has been deployed in a large enterprise. We present new qualitative and quantitative data on how a corporate social tagging system was used, through both event logs (click level analysis) and interviews. We observed three types of search activities: community browsing, personal search, and explicit search. Community browsing was the most frequently used, and confirms the value of the social aspects of the system. We conclude that social bookmarking services support various kinds of exploratory search, and provide better personal bookmark management and enhance social navigation.},
  author = {Millen, David R. and Yang, Meng and Whittaker, Steven and Feinberg, Jonathan},
  booktitle = {ECSCW 2007},
  doi = {10.1007/978-1-84800-031-5_2},
  editor = {Bannon, Liam J. and Wagner, Ina and Gutwin, Carl and Harper, Richard H.R. and Schmidt, Kjeld},
  interhash = {8f316838202ce31c603f8576a56532ff},
  intrahash = {08aa0611b1f4e01f2dfd760dc5969b82},
  isbn = {978-1-84800-030-8},
  pages = {21-40},
  publisher = {Springer London},
  title = {Social bookmarking and exploratory search},
  url = {http://dx.doi.org/10.1007/978-1-84800-031-5_2},
  year = 2007
}

@article{jansen2006search,
  abstract = {The use of data stored in transaction logs of Web search engines, Intranets, and Web sites can provide valuable insight into understanding the information-searching process of online searchers. This understanding can enlighten information system design, interface development, and devising the information architecture for content collections. This article presents a review and foundation for conducting Web search transaction log analysis. A methodology is outlined consisting of three stages, which are collection, preparation, and analysis. The three stages of the methodology are presented in detail with discussions of goals, metrics, and processes at each stage. Critical terms in transaction log analysis for Web searching are defined. The strengths and limitations of transaction log analysis as a research method are presented. An application to log client-side interactions that supplements transaction logs is reported on, and the application is made available for use by the research community. Suggestions are provided on ways to leverage the strengths of, while addressing the limitations of, transaction log analysis for Web-searching research. Finally, a complete flat text transaction log from a commercial search engine is available as supplementary material with this manuscript.},
  author = {Jansen, Bernard J.},
  doi = {10.1016/j.lisr.2006.06.005},
  interhash = {0488e60c424ea821ee7b3e3760ffd115},
  intrahash = {e147f866b624d461c77a24b79b2d9aff},
  issn = {0740-8188},
  journal = {Library & Information Science Research},
  number = 3,
  pages = {407 - 432},
  title = {Search log analysis: What it is, what's been done, how to do it},
  url = {http://www.sciencedirect.com/science/article/pii/S0740818806000673},
  volume = 28,
  year = 2006
}

@article{silverstein1999analysis,
  abstract = {In this paper we present an analysis of an AltaVista Search Engine query log consisting of approximately 1 billion entries for search requests over a period of six weeks. This represents almost 285 million user sessions, each an attempt to fill a single information need. We present an analysis of individual queries, query duplication, and query sessions. We also present results of a correlation analysis of the log entries, studying the interaction of terms within queries. Our data supports the conjecture that web users differ significantly from the user assumed in the standard information retrieval literature. Specifically, we show that web users type in short queries, mostly look at the first 10 results only, and seldom modify the query. This suggests that traditional information retrieval techniques may not work well for answering web search requests. The correlation analysis showed that the most highly correlated items are constituents of phrases. This result indicates it may be useful for search engines to consider search terms as parts of phrases even if the user did not explicitly specify them as such.},
  acmid = {331405},
  address = {New York, NY, USA},
  author = {Silverstein, Craig and Marais, Hannes and Henzinger, Monika and Moricz, Michael},
  doi = {10.1145/331403.331405},
  interhash = {5e26846be504d4fc6b6a7b236c1c023a},
  intrahash = {4ac734beeccbcb3a05786e8ca57f5629},
  issn = {0163-5840},
  issue_date = {Fall 1999},
  journal = {SIGIR Forum},
  month = sep,
  number = 1,
  numpages = {7},
  pages = {6--12},
  publisher = {ACM},
  title = {Analysis of a very large web search engine query log},
  url = {http://doi.acm.org/10.1145/331403.331405},
  volume = 33,
  year = 1999
}