The Web and especially major Web search engines are essential tools in the quest to find online information for many populate. This paper reports results from research that examines characteristics and changes in Web searching from nine studies of five Web examine engines based in the US and Europe. We analyse interactions occurring between users and Web search engines from the perspectives of session length ask length ask complexity and content viewed among the Web search engines. The results of our research shows (1) users are viewing fewer result pages. (2) searchers on US-based Web search engines use more query operators than searchers on European-based search engines. (3) there are statistically significant differences in the use of Boolean operators and result pages viewed and (4) one cannot necessary bear on results from studies of one particular Web examine engine to another Web search engine. The wide spread use of Web search engines employment of simple queries and decreased viewing of result pages may have resulted from algorithmic enhancements by Web examine engine companies. We address the implications of the findings for the development of Web examine engines and design of online content.
Transaction logs of NAVER a study Korean Web search engine were analyzed to track the information-seeking behavior of Korean Web users. These transaction logs consider more than 40 million queries collected over 1 week. This study examines current transaction log analysis methodologies and proposes a method for log cleaning session definition and query classification. A term definition method which is necessary for Korean transaction log analysis is also discussed. The results of this chew over show that users bear in a simple way: they write in short queries with a few query terms seldom use advanced features and view few results' pages. Users also behave in a passive way: they seldom change search environments set by the system. It is of interest that users tend to change their queries totally rather than adding or deleting terms to modify the previous queries. The results of this chew over might alter to the development of more efficient and effective Web examine engines and services.
Transaction logs from four different Web-based information retrieval environments (bibliographic databank. OPAC search engine specialized search system) were analyzed for empirical regularities in search characteristics to cause whether users engage in different behaviors in different Web-based search environments. Descriptive statistics and relative frequency distributions related to call usage query formulation and session duration were tabulated. The analysis revealed that there are differences in these characteristics. Users were more likely to engage in extensive searching using the OPAC and specialized search system. Surprisingly the bibliographic databank search environment resulted in the most parsimonious searching more similar to a general search engine. Although on the surface Web-based search facilities may be similar users do engage in different search behaviors.
Search engines are among the most popular as come up as useful services on the web. There is a be however to give to the preferences of the users when supplying the search results to them. We declare to keep the examine compose of each user on the basis of which the examine results would be determined. This requires the integration of techniques for measuring search quality learning from the user feedback and biased be aggregation etc. For the intend of measuring web examine quality the “user satisfaction” is gauged by the sequence in which he picks up the results the time he spends at those documents and whether or not he prints saves bookmarks e-mails to someone or copies-and-pastes a portion of that document. For rank aggregation we choose and evaluate the classical fuzzy be ordering techniques for web applications and also propose a few novel techniques that outshine the existing techniques. A “user satisfaction” guided web search procedure is also put forward. Learning from the user feedback proceeds in such a way that there is an improvement in the ranking of the documents that are consistently preferred by the users. As an integration of our work we propose a personalized web examine system.
We analyzed transaction logs containing 51,473 queries posed by 18,113 users of Excite a major Internet search function. We provide data on: (i) sessions — changes in queries during a session be of pages viewed and use of relevance feedback; (ii) queries — the be of search terms and the use of logic and modifiers; and (iii) terms — their be/frequency distribution and the most highly used search terms. We then alter the cerebrate of analysis from the ask to the user to gain insight to the characteristics of the Web user. With these characteristics as a basis we then conducted a failure analysis identifying.
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