search engine

[debelizmaj]

Da li ima neko noku literaturu o web search enginima? Pisem diplomski o njima pa jurim po netu. Svaka pomoc dobro dosla
Fala 😀

[foxbunny]

Evo necega[/url] na PDFCHM.com.

Web Search: Public Searching of the Web (Information Science and Knowledge Management)

Amanda Spink and Bernard J. Jansen, 2004, Springer

Web Search: Public Searching of the Web, co-authored by Drs. Amanda Spink and Bernard J. Jansen, is one of the first manuscripts that address the human – system interaction of Web searching in a thorough and complete manner. The authors provide an examination of Web searching from multiple levels of analysis, from theoretical overview to detailed study of term usage, and integrate these different levels of analysis into a coherent picture of how people locate information on the Web using search engines.

Drawing primarily on their own research and work in the field, the authors present the temporal changes in, the growth of, and the stability of how people interact with Web search engines. Drs. Spink and Jansen present results from an analysis of multiple search engine data sets over a six year period, giving a firsthand account of the emergence of Web searching. They also compare and contrast their findings to the results of other researchers in the field, providing a valuable bibliographic resource.

This research is directly relevant to those interested in providing information or services on the Web, along with those who research and study the Web as an information resource. Graduate students, academic and corporate researchers, search engine designers, information architects, and search engine optimizers will find the book of particular benefit.

[foxbunny]

A mozda i ovo[/url] ima veze (ne znam)…

Distributed Search by Constrained Agents: Algorithms, Performance, Communication

Amnon Meisels, 2007, Springer

Agent technology is evolving as a leading field of research connected to diverse areas such as A.I., E-commerce, robotics and information retrieval. Agents systems use reasoning and constraint-based reasoning that has a wide potential for representing multiple types of problems. A fundamental building block within all these areas is the ability to perform search and an inherent part of all agents must therefore relate to distributed and cooperative methods of search.

This book presents a comprehensive discussion on the field of distributed constraints, its algorithms and its active research areas. It introduces distributed constraint satisfaction and optimization problems and proceeds to present a complete state-of-the-art in DisCSP & DisCOP research. The presentation assumes no prior knowledge

[foxbunny]

E i ovo[/url].

Intelligent Document Retrieval: Exploiting Markup Structure

2005, Springer

Collections of digital documents can nowadays be found everywhere in institutions, universities or companies. Examples are Web sites or intranets. But searching them for information can still be painful. Searches often return either large numbers of matches or no suitable matches at all. Such document collections can vary a lot in size and how much structure they carry. What they have in common is that they typically do have some structure and that they cover a limited range of topics. The second point is significantly different from documents on the Web in general. The type of search system that we propose in this book can suggest ways of refining or relaxing the query to assist a user in the search process. In order to suggest sensible query modifications we would need to know what the documents are about. Explicit knowledge about the document collection encoded in some electronic form is what we need. However, typically such knowledge is not available. This book describes how that knowledge can be contructed automatically. This book demonstrates how document markup structure can be used to construct domain models for collections of partially structured documents shows how such knowledge can be utilized when searching the document collections presents two implemented search systems which demonstrate the usefulness of this approach.

We are witnessing a massive growth of electronic natural language resources. Most noticeable is the development of the Web, with online newspapers, product catalogues, data archives etc. Millions of users access the Web or other electronic document collections every day. In this book we look at a single aspect of this rather complex area: How can we help a user to navigate a document collection easily, and how can we assist a user who wants to search a collection for documents that satisfy some information need?

We will not look at general Web search, but instead we will concentrate on smaller collections such asWeb sites or collections of classified advertisements. They represent much narrower domains unlike the broad coverage of the Web. One reason for considering this area a worthwhile research issue is the fact that searches in document collections often return either large numbers of matches or no suitable matches at all. We acknowledge that Web search algorithms have matured significantly over the past few years and that a search request submitted to Google1 typically returns excellent matches for a user query. Nevertheless, this is not always the case if the collection is only a fraction the size of the Web and the documents cover a much smaller range of topics. Such collections are very common in institutions, universities or companies.

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