基于用户反馈的搜索引擎选择及结果归并

提出一种基于用户反馈的元搜索引擎模型，通过分析用户对搜索结果的评价，利用用户的反馈信息，分别定义搜索引擎质量分值和用户评价分值。给出一种依据搜索引擎质量分值进行的搜索引擎选择策略，使元搜索引擎可以针对不同查询关键字选择准确度高的搜索引擎进行查询。设计一种主客观影响因子结合的元搜索结果归并方法，使准确率高的搜索结果先返回给用户。     

分布式弹性搜索研究与实践

针对大数据量数据资源的简洁、快速搜索问题,深入研究了基于Lucene的分布式弹性搜索引擎ElasticSearch,简单分析了它的基本原理,详细描述了它的技术框架,并基于ElasticSearch搜索引擎,开发实现了公安信息资源整合与搜索系统,实现了大数据量信息资源的快速整合与一键式分布式准实时搜索,通过可视化监控界面,实时了解系统数据同步与搜索性能,为不断优化其性能奠定了坚实基础.     

服务搜索引擎基于用户行为的效果评价

基于垂直搜索引擎设计思想提出的Web服务搜索引擎相比传统的UDDI服务发现方法能更好的满足用户对于Web服务查询的需求。随着服务搜索引擎技术的不断发展,如何评价其检索效果成为提高服务搜索质量的核心问题。本文提出了一种基于用户行为分析对Web服务搜索引擎进行自动性能评价的方法,并且根据Web服务特点,提出了基于QoS数据信息进行样例集合划分的方法。通过对用户的查询和点击行为分析,推导出针对特定查询集合的检索结果集合,并将两个集合之间自动建立映射。通过分析Web服务搜索引擎的搜索效果,评价本文提出的方法与人工标注的方法的对比,基于用户行为的评价算法能够对服务搜索引擎进行较客观的评价。     

用户搜索体验质量及搜索结果排序

搜索引擎的索引库内容更新存在一定周期,目前在提供Web页面搜索服务时,搜索结果的排序没有考虑其索引资源的实时质量特征,难以满足用户搜索的多层次要求。提出了用户搜索体验质量模型,并把该模型应用于开源搜索引擎Nutch中。在提供搜索服务时,Nutch结合影响搜索体验质量的因素实现搜索结果的排序。实验给出了用户搜索体验质量变化情况,反应了这些因素对于搜索结果排序及用户搜索体验质量的重要性。该实验为下一步提升用户搜索体验质量,减少搜索引擎及网络传输能耗,进而实现搜索服务整体优化工作奠定了基础。     

全文搜索引擎在煤矿运维系统中的应用

针对目前已有的煤矿运维系统功能单一、自动化程度低等问题,将全文搜索引擎应用到煤矿运维系统中,通过搜索引擎从故障解决方案数据库中搜索出匹配的解决方案。介绍了煤矿运维系统流程及故障解决方案来源、数据结构和录入流程;通过对比选型,选择Elasticsearch作为煤矿运维系统的全文搜索引擎,并给出了其具体应用方法。实例分析及测试结果表明,该搜索引擎提供的搜索结果与告警内容所反映的故障相关度较高,能够为解决故障提供有效帮助。     

基于Android的网购药品应用的设计与实现

药品网购具有的便利、优价、隐私保护、更好服务等优势,吸引更多消费者开始尝试网上购药的生活方式。通过对药品电商现状与发展趋势的调查,首先对系统功能进行需求分析,提出基于Android平台的网购药品应用的设计方案。然后对客户端功能、数据通信、条形码扫描、版本升级等重要模块进行了详细的描述,并实现了系统数据库的设计。实践证明,该系统的设计合理有效,可满足网购药品商用功能。     

一种并行计算平台KD-60上的可实时更新文本搜索

实时性是影响搜索引擎性能的重要因素.针对这个因素,提出一种可实时更新的倒排索引结构并将其应用于国产万亿次高性能计算平台KD-60.该方案采用主、辅倒排索引和内容过滤索引相结合的方式,实现了搜索过程的实时性.同时,我们将其应用于高性能绿色计算平台KD-60,使之在一定的程度上实现了搜索的高效能.实验证明,基于KD-60平台的倒排索引结构有效的解决了搜索引擎的实时性问题,并可作为绿色计算的实际应用的一个典型实例.     

元搜索引擎并行式数据查询代理模块的设计与实现

随着各大搜索引擎巨头推出了搜索服务的开放API,元搜索引擎迎来了新一轮发展。笔者通过对元搜索引擎基本架构的分析,在Java平台上设计并实现了基于Executor并发框架的元搜索引擎数据查询代理模块,同时还对其实现进行了性能分析。     

长尾查询搜索性能评价方法的研究

各大搜索引擎公司都致力于准确而快速的帮助用户找到信息目标,搜索性能评价变得非常重要,而目前尚无对长尾查询性能评价的方法。该文通过分析长尾查询结果数据,提取了长尾查询三种类型特征,并对特征进行叠加分析。进一步地针对数据集的严重不平衡问题提出两种数据平衡方法。最后提出并改进了长尾查询评价方法。在真实搜索引擎结果数据集上的实验验证了所提出的评价方法取得一定的评价效果,其中对不相关文档的评价取得较高的准确率。     

多搜索引擎权重计算及搜索结果排序质量评估

搜索引擎在多成员搜索引擎搜索结果的整合过程中,搜索结果的排序在很大程度上决定着元搜索引擎的服务质量。为了实现搜索结果的有效整合,目前技术主要结合查询请求、文档内容、初始排序或（和）赋予搜索成员搜索引擎权重等因素。其中采用赋予搜索引擎权重时,往往根据用户和技术人员经验,主观地进行赋值,不能体现真实的用户搜索偏好。为此,提出了通过挖掘用户搜索及遍历情况,动态地赋予各成员搜索引擎权重的方法。通过用户遍历及点击下载情况,得到了用户搜索遍历与返回结果的匹配度,论证了该方法的可行性和有效性。     

Automated functional testing of online search services

Search services are the main interface through which people discover information on the Internet. A fundamental challenge in testing search services is the lack of oracles. The sheer volume of data on the Internet prohibits testers from verifying the results. Furthermore, it is difficult to objectively assess the ranking quality because different assessors can have very different opinions on the relevance of a Web page to a query. This paper presents a novel method for automatically testing search services without the need of a human oracle. The experimental findings reveal that some commonly used search engines, including Google, Yahoo!, and Live Search, are not as reliable as what most users would expect. For example, they may fail to find pages that exist in their own repositories, or rank pages in a way that is logically inconsistent. Suggestions are made for search service providers to improve their service quality. Copyright © 2010 John Wiley & Sons, Ltd.     

Price competition in e-tailing under service and recognition differentiation

The Internet has significantly increased the bargaining power of consumers. Many online shopping search engines allow consumers to find most retailers that sell a specific product, compare product prices, and review detailed store ratings. With competition just a click away, online retailers have little control over where consumers would shop. Offering the lowest price alone does not always guarantee that consumers will come and buy at your site. Other non-price attributes, such as service quality and a merchant’s brand recognition, also play important roles in helping online retailers to build competitive advantages. In this paper, we present a model of price competition that assumes e-tailers can mainly differentiate themselves by providing different levels of service and by establishing a different online recognition. Closed-form equilibrium solutions are obtained for the different scenarios that may arise in this model. Based on such solutions, we give managerial insights on how e-tailers should position themselves when parameters such as service cost, service levels, and recognition are varied.     

智能型元搜索引擎的设计与实现

研究现有元搜索引擎技术，提出了智能型元搜索引擎模型，即采用数据挖掘技术，根据独立型搜索引擎工作情况的记录，动态生成元搜索引擎的调度策略。在对各数据挖掘方法进行比较之后，选择了决策树归纳分类分析技术生成元搜索引擎调用策略，并详细介绍了调度策略的处理过程、系统评估度量的建立以及用微软最近发布的OLE DB for DM数据挖掘通用接口进行数据挖掘的具体实现。     

公安视频信息共享平台联网运行管理系统

建设涵盖省、市、区(县)三级的全省公安视频信息共享平台联网运行管理系统,在联网运行中,实时监测各级共享平台的上线情况,动态监测各级共享平台监控点在线及视频运行质量情况,并对联网过程中上下级共享平台推送的监控目录资源和运行状态等实时性、一致性、完整性和真实性进行审计,对发现的故障情况通过邮件、短信、客户端等多种方式进行告警并进行跟踪处理。系统通过数据的汇聚和清洗,形成各类交叉的运行管理分析报表,以实现对全省视频图像联网运行自动化故障监测、运维管理和运行质量评定考核。     

田湾核电站基于Elasticsearch的创新型数据应用研究与实践

针对难以在海量数据中快速定位目标数据的问题,田湾核电站对Elasticsearch这一搜索引擎技术进行研究,通过微服务架构设计模式和前后端分离的开发技术建立起三项具体数据应用,解决了数据索引和数据定位的问题,提升了工作效率.IT智能客服机器人平台建立起具备自动应答功能的在线服务平台,在线提供高效的IT服务,提升IT服务...     

Agent based intelligent search framework for product information using ontology mapping

The Semantic Web and Web services provide many opportunities in various applications such as product search and comparison in electronic commerce. We implemented an intelligent meta-search and recommendation system for products through consideration of multiple attributes by using ontology mapping and Web services. Under the assumption that each shopping site offers product ontology and product search service with Web services, we proposed a meta-search framework to configure a customer’s search intent, make and dispatch proper queries to each shopping site, evaluate search results from shopping sites, and show the customer the relevant product list with associated rankings. Ontology mapping is used for generating proper queries for shopping sites that have different product categories. We also implemented our framework and performed empirical evaluation of our approach with two leading shopping sites in the world.     

On the search behaviour of users in the context of interactive social book search

ABSTRACT

Understanding the search behaviour of online users is among the long-tail practices of Interactive Information Retrieval that helps identify the user information needs. The Interactive Social Book Search (SBS), under the umbrella of Interactive Information Retrieval (IIR), aims to understand the user interactions with book collections and the associated professionally-curated and socially-constructed metadata on the baseline and multistage user interfaces (UIs). This paper reports on the book search behaviour of users by reviewing research publications related to the Interactive SBS published during the last two decades. It presents a holistic view of the overall progress of Interactive SBS by summarising and visualising the experimental structure, search systems, datasets, demographics of participants, and findings to identify the research trends and possible future directions. Based on the collected evidence, it attempts to answer how the search system, user interface (UI), and the nature of tasks affect the book search behaviour of users. The article is the first of its kind that attempts to understand the book search behaviour of users in the context of Social Book Search with implications for usability experts and others working in UI design, web search engines, book search engines, digital libraries, collaborative social cataloguing websites, and e-Commerce applications.     

代理式多站点查询法在信息交易系统中的应用

在 Internet 上使用搜索引擎、门户网站、目录结构查询信息时有许多局限性，新近出现的查询方法对查询分布在不 同站点上的数据也无能为力。本文介绍了一种根据用户需求进行查询并组合信息的平台及语言。     

A method for real-time trajectory monitoring to improve taxi service using GPS big data

As taxi service is supervised by certain electronic equipment (e.g., global positioning system (GPS) equipment) and network technique (e.g., cab reservation through Uber in USA or DIDI in China), taxi business is a typical electronic commerce mode. For a long time, taxi service is facing a typical challenge, that is, passengers may be detoured and overcharged by some unethical taxi drivers, especially when traveling in unfamiliar cities. As a result, it is important to detect taxi drivers’ misbehavior through taxi’s GPS big data analysis in a real-time manner for enhancing the quality of taxi services. In view of this challenge, an online anomalous trajectory detection method, named OnATrade (pronounced “on a trade,” which means activities in a taxi trade on the fly), is investigated in this paper for improving taxi service using GPS big data. The method mainly consists of two steps: route recommendation and online detection. In the first step, route candidates are generated by using a route recommendation algorithm. In the second step, an online anomalous trajectory detection approach is presented to find taxis that have driving anomalies. Experiments evaluate the validity of our method on large-scale, real-world taxi GPS trajectories. Finally, several value-added applications benefiting from big data analysis over taxi’s GPS data sets are discussed for potential commercial applications.