Limitations of Advanced Searching Techniques on Web Search Engines

Abstract General purpose Web search engines can be a valuable tool to locate high quality information and can complement the use of specialized systems, such as LexisNexis or WestLaw. The effective use of Web search engines differs somewhat from that of other information retrieval systems and requires an understanding of search engine design and procedures before effective use. We present an overview of search engines and user behavior in Web searching as an introduction to a discussion of the effectiveness of using some of the advanced searching techniques common in other searching environments in Web searches. We empirically test the effectiveness on query operators for Web searching. The use of operators such as AND, OR, and PHRASE was found to have little or no difference on the number of relevant results retrieved for three major search engines, America Online, Google, and Microsoft Search.

[1]  Sriram Raghavan,et al.  Searching the Web , 2001, ACM Trans. Internet Techn..

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

[3]  Peter Bailey,et al.  Measuring Search Engine Quality , 2001, Information Retrieval.

[4]  Caroline M. Eastman 30, 000 hits may be better than 300: Precision anomalies in Internet searches , 2002, J. Assoc. Inf. Sci. Technol..

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

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

[7]  C. Lee Giles,et al.  CiteSeer: an automatic citation indexing system , 1998, DL '98.

[8]  Vijay V. Raghavan,et al.  Information Retrieval on the World Wide Web , 1997, IEEE Internet Comput..

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

[10]  David Hawking,et al.  Overview of the TREC-9 Web Track , 2000, TREC.

[11]  Sergey Brin,et al.  Extracting Patterns and Relations from the World Wide Web , 1998, WebDB.

[12]  Gary Marchionini,et al.  A Comparative Study of Web Search Service Performance , 1996 .

[13]  Amanda Spink,et al.  An Analysis of Web Documents Retrieved and Viewed , 2003, International Conference on Internet Computing.

[14]  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..

[15]  Elizabeth D. Liddy,et al.  How a Search Engine Works. , 2001 .

[16]  Amanda Spink,et al.  From Highly Relevant to Not Relevant: Examining Different Regions of Relevance , 1998, Inf. Process. Manag..

[17]  Christine L. Borgman,et al.  Why are online catalogs still hard to use , 1996 .

[18]  Amanda Spink,et al.  Searching the Web: a survey of EXCITE users , 1999, Internet Res..

[19]  Wendy T. Lucas,et al.  Form and function: The impact of query term and operator usage on Web search results , 2002, J. Assoc. Inf. Sci. Technol..

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

[21]  Bernard J. Jansen,et al.  The effects of search engines and query operators on top ranked results , 2003, Proceedings ITCC 2003. International Conference on Information Technology: Coding and Computing.

[22]  Ian H. Witten,et al.  Managing Gigabytes: Compressing and Indexing Documents and Images , 1999 .

[23]  Richard Einer Peterson Eight Internet Search Engines Compared , 1997, First Monday.