Patterns of Searching for Information on the World Wide Web: A Pilot Study

2003 ◽  
Vol 92 (3_suppl) ◽  
pp. 1091-1096 ◽  
Author(s):  
Nobuhiko Fujihara ◽  
Asako Miura
Keyword(s):  
World Wide Web ◽  
Undergraduate Students ◽  
Search Engines ◽  
World Wide ◽  
Information Sources ◽  
Task Type ◽  
The Other ◽  
The World ◽  
Selection Of ◽  
Search Domain

The influences of task type on search of the World Wide Web using search engines without limitation of search domain were investigated. 9 graduate and undergraduate students studying psychology (1 woman and 8 men, M age = 25.0 yr., SD = 2.1) participated. Their performance to manipulate the search engines on a closed task with only one answer were compared with their performance on an open task with several possible answers. Analysis showed that the number of actions was larger for the closed task ( M = 91) than for the open task ( M = 46.1). Behaviors such as selection of keywords (averages were 7.9% of all actions for the closed task and 16.7% for the open task) and pressing of the browser's back button (averages were 40.3% of all actions for the closed task and 29.6% for the open task) were also different. On the other hand, behaviors such as selection of hyperlinks, pressing of the home button, and number of browsed pages were similar for both tasks. Search behaviors were influenced by task type when the students searched for information without limitation placed on the information sources.

Semantic Sentiment Analyses Based on Reputations of Web Information Sources

2011 ◽  
pp. 325-346 ◽  
Author(s):  
Donato Barbagallo ◽  
Cinzia Cappiello ◽  
Chiara Francalanci ◽  
Maristella Mate
Keyword(s):  
Information Sources ◽  
Web Information

Integrating Deep-Web Information Sources

2010 ◽  
pp. 311-320 ◽  
Author(s):  
Iñaki Fernández de Viana ◽  
Inma Hernandez ◽  
Patricia Jiménez ◽  
Carlos R. Rivero ◽  
Hassan A. Sleiman
Keyword(s):  
Information Sources ◽  
Deep Web ◽  
Web Information

WIEAS: Helping to Discover Web Information Sources and Extract Data from Them

2004 ◽  
pp. 732-737
Author(s):  
Liyu Li ◽  
Shiwei Tang ◽  
Dongqing Yang ◽  
Tengjiao Wang ◽  
Zhihong Deng ◽  
...  
Keyword(s):  
Information Sources ◽  
Web Information

Clustering Web Information Services

2007 ◽  
pp. 34-55 ◽  
Author(s):  
Athena Vakali ◽  
George Pallis ◽  
Lefteris Angelis
Keyword(s):  
Data Mining ◽  
Data Management ◽  
Information Sources ◽  
Theoretical Background ◽  
Information Services ◽  
Information Availability ◽  
Web Information ◽  
Information Circulation ◽  
The Web ◽  
Management Issues

The explosive growth of the Web scale has drastically increased information circulation and dissemination rates. As the number of both Web users and Web sources grows significantly everyday, crucial data management issues, such as clustering on the Web, should be addressed and analyzed. Clustering has been proposed towards improving both the information availability and the Web users’ personalization. Clusters on the Web are either users’ sessions or Web information sources, which are managed in a variation of applications and implementations testbeds. This chapter focuses on the topic of clustering information over the Web, in an effort to overview and survey on the theoretical background and the adopted practices of most popular emerging and challenging clustering research efforts. An up-to-date survey of the existing clustering schemes is given, to be of use for both researchers and practitioners interested in the area of Web data mining.

scholarly journals Herd Behavior in the Insurance Market: A Survey

2015 ◽  
Vol 7 (11) ◽  
pp. 154 ◽  
Author(s):  
Fan Liu
Keyword(s):  
Information Sources ◽  
Collective Intelligence ◽  
Insurance Market ◽  
Purchase Decision ◽  
Herd Behavior ◽  
Purchase Decisions ◽  
Decision Making Processes ◽  
Use Of Information Sources ◽  
The Relationship ◽  
Selection Of

We conduct a survey to examine herd behavior in the insurance market. Following prior studies on consumers’ use of information sources in their purchase decision-making processes we develop hypotheses that explore the relationship between selection of information sources and herd behavior among potential insurance buyers in the market. Our results strongly support contentions that insurance buyers are significantly influenced in their choices by recommendations from different information sources and they do use these as herd cues to infer insurance product quality when making their own purchase decisions. In particular, our findings suggest that potential insurance buyers are more likely to be influenced by collective intelligence than by insurance experts.

A Signal-Representation-Based Parser to Extract Text-Based Information from the Web

2010 ◽  
Vol 14 (5) ◽  
pp. 531-539
Author(s):  
Mu-Chun Su ◽  
◽  
Shao-Jui Wang ◽  
Chen-Ko Huang ◽  
Pa-ChunWang ◽  
...  
Keyword(s):  
Web Services ◽  
World Wide ◽  
Information Sources ◽  
State Of The Art ◽  
Value Added ◽  
Web Pages ◽  
Web Page ◽  
Web Information ◽  
The World ◽  
The Web

Most of the dramatically increased amount of information available on the World Wide Web is provided via HTML and formatted for human browsing rather than for software programs. This situation calls for a tool that automatically extracts information from semistructured Web information sources, increasing the usefulness of value-added Web services. We present a <u>si</u>gnal-<u>r</u>epresentation-b<u>a</u>sed <u>p</u>arser (SIRAP) that breaks Web pages up into logically coherent groups - groups of information related to an entity, for example. Templates for records with different tag structures are generated incrementally by a Histogram-Based Correlation Coefficient (HBCC) algorithm, then records on a Web page are detected efficiently using templates generated by matching. Hundreds of Web pages from 17 state-of-the-art search engines were used to demonstrate the feasibility of our approach.

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