How are we searching the World Wide Web? A comparison of nine search engine transaction logs

A log sawing and transport system for relatively small logs has an infeed and loading station where logs are positioned in a centering device for aligning the logs with respect to the saws. Once the log is properly aligned for axial movement, a set of end dogs are actuated to hold the log in its prealigned position for transport. The dogs are mounted within axially movable carriage units that travel the length of the system serving to transport the log axially in a straight line. At the sawing station a plurality of angularly arranged saws are disposed to divide the traveling log into a plurality of elongated sector-shaped pieces. At least one selected saw may be adjustable with respect to the other saws in order to set angles for the sector-shaped pieces. Once the log has been divided into a plurality of sector-shaped pieces, an outfeed device collects the elongated sector-shaped pieces and transports them out of the system.

[1]  Nicholas J. Belkin,et al.  Cases, scripts, and information-seeking strategies: On the design of interactive information retrieval systems , 1995 .

[2]  Huseyin Cenk Özmutlu,et al.  Application of automatic topic identification on Excite Web search engine data logs , 2005, Inf. Process. Manag..

[3]  Amanda Spink,et al.  An analysis of Web searching by European AlltheWeb.com users , 2005, Inf. Process. Manag..

[4]  Ji-Rong Wen,et al.  Clustering user queries of a search engine , 2001, WWW '01.

[5]  Kevin S. McCurley,et al.  Analysis of anchor text for web search , 2003, SIGIR.

[6]  Ingrid Hsieh-Yee Research on Web Search Behavior. , 2001 .

[7]  Alan F. Smeaton,et al.  Personalisation and recommender systems in digital libraries , 2005, International Journal on Digital Libraries.

[8]  Mounia Lalmas,et al.  A Framework for Investigating the Interaction in Information Retrieval , 1999, EJC.

[9]  Dietmar Wolfram,et al.  End user searching on the Internet: An analysis of term pair topics submitted to the Excite search engine , 2000, J. Am. Soc. Inf. Sci..

[10]  Jose-Marie Griffiths,et al.  Perspectives in Information Management 1 , 1990 .

[11]  Judit Bar-Ilan,et al.  The use of web search engines in information science research , 2005, Annu. Rev. Inf. Sci. Technol..

[12]  Amanda Spink,et al.  U.S. versus European web searching trends , 2002, SIGF.

[13]  Shin-jeng Lin DESIGN SPACE OF PERSONALIZED INDEXING: ENHANCING SUCCESSIVE WEB SEARCHES FOR TRANSMUTING INFORMATION PROBLEMS , 2002 .

[14]  Monika Henzinger,et al.  Analysis of a very large web search engine query log , 1999, SIGF.

[15]  Tom Peters,et al.  The history and development of transaction log analysis , 1993 .

[16]  Yinglian Xie,et al.  Locality in search engine queries and its implications for caching , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[17]  Carolyn R. Watters,et al.  Information Retrieval and the Virtual Document , 1999, J. Am. Soc. Inf. Sci..

[18]  Amanda Spink,et al.  Multitasking information behavior and information task switching: an exploratory study , 2004, J. Documentation.

[19]  Yair Amichai-Hamburger,et al.  Internet and personality , 2002, Comput. Hum. Behav..

[20]  Shu-Sheng Liaw,et al.  An investigation of user attitudes toward search engines as an information retrieval tool , 2003, Comput. Hum. Behav..

[21]  Ann Apps,et al.  Studying E-Journal User Behavior Using Log Files , 2000 .

[22]  Marcia J. Bates,et al.  Where should the person stop and the information search interface start? , 1990, Inf. Process. Manag..

[23]  Ángel Viña,et al.  Experiences retrieving information in the world wide web , 2001, Proceedings. Sixth IEEE Symposium on Computers and Communications.

[24]  Yen-Jen Oyang,et al.  Relevant term suggestion in interactive web search based on contextual information in query session logs , 2003, J. Assoc. Inf. Sci. Technol..

[25]  Mark Hansen,et al.  Using navigation data to improve IR functions in the context of web search , 2001, CIKM '01.

[26]  Michael D. Cooper,et al.  Stochastic modeling of usage patterns in a web-based information system , 2002, J. Assoc. Inf. Sci. Technol..

[27]  Shlomo Moran,et al.  Predictive caching and prefetching of query results in search engines , 2003, WWW '03.

[28]  A. Spink,et al.  Web Search: Public Searching of the Web (Information Science and Knowledge Management) , 2005 .

[29]  Christos Faloutsos,et al.  Identifying Web Browsing Trends and Patterns , 2001, Computer.

[30]  Mounia Lalmas,et al.  Progress in Information Retrieval , 2006, ECIR.

[31]  C. Lee Giles,et al.  Accessibility of information on the web , 1999, Nature.

[32]  Frans Voorbraak,et al.  On the Justification of Dempster's Rule of Combination , 1988, Artif. Intell..

[33]  Amanda Spink,et al.  Real life, real users, and real needs: a study and analysis of user queries on the web , 2000, Inf. Process. Manag..

[34]  Fidel Cacheda,et al.  Understanding how people use search engines: a statistical analysis for e-Business , 2000 .

[35]  Peter Bruza,et al.  Web searching: A process-oriented experimental study of three interactive search paradigms , 2002, J. Assoc. Inf. Sci. Technol..

[36]  Nancy C. M. Ross,et al.  End user searching on the Internet: An analysis of term pair topics submitted to the Excite search engine , 2000, J. Am. Soc. Inf. Sci..

[37]  Bernard J. Jansen,et al.  A review of web searching studies and a framework for future research , 2001 .

[38]  Amanda Spink,et al.  From E-Sex to E-Commerce: Web Search Changes , 2002, Computer.

[39]  Christoph Hölscher,et al.  Web search behavior of Internet experts and newbies , 2000, Comput. Networks.

[40]  Amanda Spink,et al.  Trends in Searching for Commerce Related Information on Web Search Engines , 2008 .

[41]  Jay F. Nunamaker,et al.  A Methodology for Analyzing Web-Based Qualitative Data , 2003, J. Manag. Inf. Syst..

[42]  Daqing He,et al.  Combining evidence for automatic Web session identification , 2002, Inf. Process. Manag..

[43]  Joonho Lee,et al.  End user searching: A Web log analysis of NAVER, a Korean Web search engine , 2005 .

[44]  Amanda Spink,et al.  Web Search: Public Searching of the Web , 2011, Information Science and Knowledge Management.

[45]  Amanda Spink,et al.  Vox populi: The public searching of the web , 2001, J. Assoc. Inf. Sci. Technol..

[46]  A. Nation Online: How Americans Are Expanding Their Use of the Internet , 2002 .

[47]  SpinkAmanda,et al.  How are we searching the world wide web , 2006 .

[48]  Ophir Frieder,et al.  Hourly analysis of a very large topically categorized web query log , 2004, SIGIR '04.

[49]  Michael D. Cooper,et al.  Using clustering techniques to detect usage patterns in a Web-based information system , 2001, J. Assoc. Inf. Sci. Technol..

[50]  Filip Radlinski,et al.  Online Study Behavior of 100,000 Students Preparing for the SAT, ACT, and GRE , 2004 .

[51]  Amanda Spink,et al.  Modeling Users' Successive Searches in Digital Environments: A National Science Foundation/British Library Funded Study , 1998, D Lib Mag..

[52]  Hao-Ren Ke,et al.  Exploring behavior of E-journal users in science and technology: Transaction log analysis of Elsevier's ScienceDirect OnSite in Taiwan , 2002 .

[53]  Peiling Wang,et al.  Mining longitudinal web queries: Trends and patterns , 2003, J. Assoc. Inf. Sci. Technol..

[54]  Soo Young Rieh Patterns and Sequences of Multiple Query Reformulations in Web Searching: A Preliminary Study , 2001 .