scholarly journals Study of Search Engine Transaction Logs Shows Little Change in How Users use Search Engines

2006 ◽  
Vol 1 (3) ◽  
pp. 67
Author(s):  
David Hook
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
Web Search ◽  
Result Page ◽  
Significant Difference ◽  
The Us ◽  
The World ◽  
The U.S ◽  
Over Time

A review of: Jansen, Bernard J., and Amanda Spink. “How Are We Searching the World Wide Web? A Comparison of Nine Search Engine Transaction Logs.” Information Processing & Management 42.1 (2006): 248-263. Objective – To examine the interactions between users and search engines, and how they have changed over time. Design – Comparative analysis of search engine transaction logs. Setting – Nine major analyses of search engine transaction logs. Subjects – Nine web search engine studies (4 European, 5 American) over a seven-year period, covering the search engines Excite, Fireball, AltaVista, BWIE and AllTheWeb. Methods – The results from individual studies are compared by year of study for percentages of single query sessions, one-term queries, operator (and, or, not, etc.) usage and single result page viewing. As well, the authors group the search queries into eleven different topical categories and compare how the breakdown has changed over time. Main Results – Based on the percentage of single query sessions, it does not appear that the complexity of interactions has changed significantly for either the U.S.-based or the European-based search engines. As well, there was little change observed in the percentage of one-term queries over the years of study for either the U.S.-based or the European-based search engines. Few users (generally less than 20%) use Boolean or other operators in their queries, and these percentages have remained relatively stable. One area of noticeable change is in the percentage of users viewing only one results page, which has increased over the years of study. Based on the studies of the U.S.-based search engines, the topical categories of ‘People, Place or Things’ and ‘Commerce, Travel, Employment or Economy’ are becoming more popular, while the categories of ‘Sex and Pornography’ and ‘Entertainment or Recreation’ are declining. Conclusions – The percentage of users viewing only one results page increased during the years of the study, while the percentages of single query sessions, one-term sessions and operator usage remained stable. The increase in single result page viewing implies that users are tending to view fewer results per web query. There was also a significant difference in the percentage of queries using Boolean operators between the US-based and the European-based search engines. One of the study’s findings was that results from a study of a particular search engine cannot necessarily be applied to all search engines. Finally, web search topics show a trend towards information or commerce searching rather than entertainment.

A Roadmap to Integrate Document Clustering in Information Retrieval

2013 ◽  
pp. 31-45
Author(s):  
R. Subhashini ◽  
V.Jawahar Senthil Kumar
Keyword(s):  
Information Retrieval ◽  
Search Engines ◽  
World Wide ◽  
Clustering Algorithm ◽  
Web Search ◽  
Full Potential ◽  
Digital Information ◽  
Search Results ◽  
The World ◽  
The Web

The World Wide Web is a large distributed digital information space. The ability to search and retrieve information from the Web efficiently and effectively is an enabling technology for realizing its full potential. Information Retrieval (IR) plays an important role in search engines. Today’s most advanced engines use the keyword-based (“bag of words”) paradigm, which has inherent disadvantages. Organizing web search results into clusters facilitates the user’s quick browsing of search results. Traditional clustering techniques are inadequate because they do not generate clusters with highly readable names. This paper proposes an approach for web search results in clustering based on a phrase based clustering algorithm. It is an alternative to a single ordered result of search engines. This approach presents a list of clusters to the user. Experimental results verify the method’s feasibility and effectiveness.

scholarly journals Similarity Measurement in the Hybrid of Semantic Web Search Engine

2013 ◽  
Vol 8 (3) ◽  
pp. 913-921 ◽  
Author(s):  
Noryusliza Abdullah ◽  
Rosziati Ibrahim
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
World Wide ◽  
Web Search ◽  
User Profiling ◽  
Similarity Measurement ◽  
Hybrid Techniques ◽  
Time Usage ◽  
The World ◽  
Data Arrangement

Semantic Web approach with the assistance of ontology is widely used to give more reliable application in retrieving information and knowledge.  It is capable to discover the World Wide Web (WWW) that is presented in natural-language text.  Based on previous research, incorporating categorization with ontology concept has proven to give better results.  However, performing hybrid of the search engine using another technique that is user profiling has a promising potency in enhancing the searching process.  Utilizing searching time and giving relevant results are the contributions of this research.  The proposed hybrid techniques integrate ontologies, categorization and user profiling concept.  In user profiling, similarity measure is adopted in making comparison between two different ontologies.  WordNet and UTHM Onto are the independent ontologies used in this process.  The preliminary experimental results have given interesting results in terms of data arrangement and time usage.

scholarly journals An investigation of biases in web search engine query suggestions

2019 ◽  
Vol 44 (2) ◽  
pp. 365-381 ◽  
Author(s):  
Malte Bonart ◽  
Anastasiia Samokhina ◽  
Gernot Heisenberg ◽  
Philipp Schaer
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Query Suggestion ◽  
Data Set ◽  
Content Type ◽  
Web Search Engine ◽  
The Stability ◽  
Query Suggestions ◽  
Over Time

Purpose Survey-based studies suggest that search engines are trusted more than social media or even traditional news, although cases of false information or defamation are known. The purpose of this paper is to analyze query suggestion features of three search engines to see if these features introduce some bias into the query and search process that might compromise this trust. The authors test the approach on person-related search suggestions by querying the names of politicians from the German Bundestag before the German federal election of 2017. Design/methodology/approach This study introduces a framework to systematically examine and automatically analyze the varieties in different query suggestions for person names offered by major search engines. To test the framework, the authors collected data from the Google, Bing and DuckDuckGo query suggestion APIs over a period of four months for 629 different names of German politicians. The suggestions were clustered and statistically analyzed with regards to different biases, like gender, party or age and with regards to the stability of the suggestions over time. Findings By using the framework, the authors located three semantic clusters within the data set: suggestions related to politics and economics, location information and personal and other miscellaneous topics. Among other effects, the results of the analysis show a small bias in the form that male politicians receive slightly fewer suggestions on “personal and misc” topics. The stability analysis of the suggested terms over time shows that some suggestions are prevalent most of the time, while other suggestions fluctuate more often. Originality/value This study proposes a novel framework to automatically identify biases in web search engine query suggestions for person-related searches. Applying this framework on a set of person-related query suggestions shows first insights into the influence search engines can have on the query process of users that seek out information on politicians.

Searching Bioinformatics Information Strategies for Effective Use of Search Engine

2018 ◽  
pp. 742-748
Author(s):  
Viveka Vardhan Jumpala
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
The Internet ◽  
Information Strategies ◽  
The World ◽  
Search For Information ◽  
Effective Use ◽  
The Web

The Internet, which is an information super high way, has practically compressed the world into a cyber colony through various networks and other Internets. The development of the Internet and the emergence of the World Wide Web (WWW) as common vehicle for communication and instantaneous access to search engines and databases. Search Engine is designed to facilitate search for information on the WWW. Search Engines are essentially the tools that help in finding required information on the web quickly in an organized manner. Different search engines do the same job in different ways thus giving different results for the same query. Search Strategies are the new trend on the Web.

Web-Based Child Pornography

2009 ◽  
Vol 1 (4) ◽  
pp. 58-69 ◽  
Author(s):  
Chad M.S. Steel
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
Child Pornography ◽  
Peer To Peer ◽  
Peer Networks ◽  
Web Based ◽  
Peer To Peer Networks ◽  
The World

While the supply of child pornography through the World Wide Web has been frequently speculated upon, the demand has not adequately been explored. Quantification and qualification of the demand provides forensic examiners a behavioral basis for determining the sophistication of individual seeking child pornography. Additionally, the research assists an examiner in searching for and presenting the evidence of child pornography browsing. The overall search engine demand for child pornography is bounded as being between .19 and .49%, depending on the inclusion of ambiguous phrases, with the top search for child pornography being “lolita bbs”. Unlike peer-to-peer networks, however, the top child pornography related query ranks only as the 198th most popular query overall. The queries on search engines appear to be decreasing as well, and the techniques employed are becoming less reliant direct links to content.

Indexing the World Wide Web

2012 ◽  
pp. 1-28 ◽  
Author(s):  
Abhishek Das ◽  
Ankit Jain
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
Data Structures ◽  
World Wide ◽  
Web Search ◽  
Distributed Processing ◽  
Data Partitioning ◽  
Information Organization ◽  
Trade Offs ◽  
The World

In this chapter, the authors describe the key indexing components of today’s web search engines. As the World Wide Web has grown, the systems and methods for indexing have changed significantly. The authors present the data structures used, the features extracted, the infrastructure needed, and the options available for designing a brand new search engine. Techniques are highlighted that improve relevance of results, discuss trade-offs to best utilize machine resources, and cover distributed processing concepts in this context. In particular, the authors delve into the topics of indexing phrases instead of terms, storage in memory vs. on disk, and data partitioning. Some thoughts on information organization for the newly emerging data-forms conclude the chapter.

Performance evaluation of web search engines in image retrieval: An experimental study

2021 ◽  
pp. 026666692110102
Author(s):  
Mehrdad (Mozaffar) CheshmehSohrabi ◽  
Elham Adnani Sadati
Keyword(s):  
Experimental Study ◽  
Performance Evaluation ◽  
Image Retrieval ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Image Search ◽  
Intense Competition ◽  
Significant Difference ◽  
General Search

This experimental study used a checklist to evaluate the performance of seven search engines consisting of four Image General Search Engines (IGSEs) (namely, Google, Yahoo DuckDuckGo and Bing), and three Image Specialized Search Engines (ISSEs) (namely, Flicker, PicSearch, and GettyImages) in image retrieval. The findings indicated that the recall average of Image General Search Engines and Image Specialized Search Engines was found to be 76.32% and 24/51% with the precision average of 82/08% and 32/21%, respectively. As the results showed, Yahoo, Google and DuckDuckGo ranked at the top in image retrieval with no significant difference. However, a remarkable superiority with almost 50% difference was observed between the general and specialized image search engines. It was also found that an intense competition existed between Google, Yahoo and DuckDuckGo in image retrieval. The overall results can provide valuable insights for new search engine designers and users in choosing the appropriate search engines for image retrieval. Moreover, the results obtained through the applied equations could be used in assessing and evaluating other search tools, including search engines.

Searching Bioinformatics Information Strategies for Effective Use of Search Engine

2017 ◽  
pp. 169-176
Author(s):  
Viveka Vardhan Jumpala
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
The Internet ◽  
Information Strategies ◽  
The World ◽  
Search For Information ◽  
Effective Use ◽  
The Web

The Internet, which is an information super high way, has practically compressed the world into a cyber colony through various networks and other Internets. The development of the Internet and the emergence of the World Wide Web (WWW) as common vehicle for communication and instantaneous access to search engines and databases. Search Engine is designed to facilitate search for information on the WWW. Search Engines are essentially the tools that help in finding required information on the web quickly in an organized manner. Different search engines do the same job in different ways thus giving different results for the same query. Search Strategies are the new trend on the Web.

Ambiguity and Clarification

2021 ◽  
pp. 28-42
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Search Task ◽  
Fast Growth ◽  
Web Pages ◽  
Visual Content ◽  
High Demand ◽  
Result Page ◽  
Search Engine Result

By the time web engines were developed, the number of queries prompted by users had grown exponentially. This fast growth shows the high demand of users from web search engines. This high demand made search engines responsible for the users' satisfaction during a search session. One way to improve a user's satisfaction is to visualize search engine result page (SERP). Recent studies for meeting this aim focused on a whole page thumbnail for assisting users to remember recently visited web pages. This chapter explores how a specific visual content of a page can allow users to distinguish between a useful and worthless page within results in SERP especially in an ambiguous search task.

Search Engines, Relevancy, and the World Wide Web

2011 ◽  
pp. 22-51 ◽  
Author(s):  
Wendy Lucas
Keyword(s):  
World Wide Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
Future Research ◽  
Search Results ◽  
Emerging Trends ◽  
The World

This chapter presents a survey and discussion of the relevancy rankings assigned by search engines to pages in their indices. An examination of methodologies whose goal it is to improve the relevancy of search results follows. The chapter concludes with a look at emerging trends in search engine technologies and directions for future research.

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