How are we searching the World Wide Web? A comparison of nine search engine transaction logs

The Web and especially major Web search engines are essential tools in the quest to locate online information for many people. This paper reports results from research that examines characteristics and changes in Web searching from nine studies of five Web search engines based in the US and Europe. We compare interactions occurring between users and Web search engines from the perspectives of session length, query length, query 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 apply results from studies of one particular Web search 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 search engine companies. We discuss the implications of the findings for the development of Web search engines and design of online content.     

A decision-theoretic approach to the evaluation of information retrieval systems

Evaluation research on information retrieval (IR) systems has thus far been narrowly focused and disjointed. This research attempts to narrow the gap by providing a comprehensive and integrated multiple criteria decision-theoretic approach for the evaluation of IR systems. The approach, which is based on the Analytic Hierarchy Process (AHP), is illustrated in the context of a domain-specific IR system. The novelty of this approach lies in the focus on the user aspect and the application of decision-making theories in the IR field.     

网络信息分类检索问题研究

This paper studies network information classification retrieval from the theory of information management. With a brief introduction to search engines, it focuses on analyzing the characteristics of network documents and their classification system. Problems in network document classification are pointed out. Suggestions such as constructing a catalog classification search engine system are made.     

Metadata与数字典藏

Metadata在数字资料的典藏中起着极其重要的作用。本文试图从数字典藏的策略及Metadata对数字典藏的重要性，进一步探讨用于数字典藏的Metadata要素及相关问题。     

查新工作管理中应重视的几个问题

提出了当前查新工作管理中应重视的几个问题,包括:立项查新、评价监督、质量认证、咨询专家的作用、市场化、学科化建设及业务拓展等,并针对这些问题提出了建议。     

基于信息过滤的Web信息查询优化

从信息过滤的角度分析信息查询的个性化发展,通过用户需求与信息内容的相似性匹配过滤与用户需求无关的信息,从而实现网络环境下用户信息查询结果的优化.据此建立基于信息过滤的用户模型框架,探讨基于信息过滤的信息查询系统优化实现的过程和方法.     

国内可视化搜索引擎研究进展:核心内容

[目的/意义] 从可视化表征、可视化机制、可视化资源组织3方面揭示国内可视化搜索引擎研究进展。[方法/过程] 文章用内容分析法归纳了185篇文献内容,从可视化表征、可视化机制、可视化资源组织3方面阐述了国内可视化搜索引擎研究进展。[结果/结论] 可视化表征主要研究表征对象及形式、表征方法;可视化机制主要研究特征提取、数据分析、可视化映射和视图变换;可视化资源组织主要研究信息采集和数据预处理。     

搜索引擎的过去现代和未来

文章简要地阐述了搜索引擎产生、发展及其现状，并分析了几种主要类型搜索引擎的优缺点及搜索引擎今后的发展趋势。     

Nearest neighbor search in metric spaces through Content-Addressable Networks

Most of the peer-to-peer search techniques proposed in the recent years have focused on the single-key retrieval. However, similarity search in metric spaces represents an important paradigm for content-based retrieval in many applications. In this paper we introduce an extension of the well-known Content-Addressable Network paradigm to support storage and retrieval of more generic metric space objects. In particular we address the problem of executing the nearest neighbors queries, and propose three different algorithms of query propagation. An extensive experimental study on real-life data sets explores the performance characteristics of the proposed algorithms by showing their advantages and disadvantages.