关键词： 搜索引擎   人工智能   智能设备   大数据   数字化转型   亲近感   年轻群体   数字化发展  

摘要： 如果在搜索引擎输入“数字原生”,你会发现一个词:digital natives,通常解释为“数字原生代”。在我国,数字原生代泛指“95后”的年轻群体,他们从小就使用各类智能设备,对于大数据、人工智能等新概念拥有天然亲近感,养成了数字化的思维模式。那么,若将这一概念引入企业的数字化发展中,是否会为企业数字化转型甚至智能化转型带来积极作用呢?

关键词： 电源系统   大规模部署   云数据中心   搜索引擎   FPGA   服务器   速度和效率  

摘要： 现场可编程门阵列(FPGA)的起源可以追溯到20世纪80年代,从可编程逻辑器件(PLD)演变而来。自此之后,FPGA资源、速度和效率都得到快速改善,使FPGA成为广泛的计算和处理应用的首选解决方案,特别是当产量不足以证明专用集成电路(ASIC)的开发成本合理有效时。FPGA取得快速发展,并广泛用于大规模部署。例如,继2013年试点项目中使用FPGA成功加快Bing搜索引擎的速度之后,Microsoft?将配备FPGA的服务器使用范围扩展到云数据中心。

关键词： cost per click   online travel agencies   search engine marketing   web marketing  

摘要： The present research provides insights into the complex landscape of online advertising channels to support tourism organizations in formulating their marketing strategies. People often use search engines and online travel agencies in a very similar way. The aim and sequence of actions that consumers perform on Google or are exactly the same, but for the potential sellers each channel presents different costs and attributes. In the Google model, firms make bids and pay on a cost-per-click basis. In the model, firms pay commissions based on the value of services sold. Under budget constraints, one of the first problems a company may encounter is determining the resource allocation to different channels. Hence, an analytical model is introduced to compare the profits generated from online search engines and online travel agencies. Assuming a trade-off between different online marketing channels, the study suggests the maximum cost per click that a tourism organization should pay to benefit from search engine marketing as much as from online travel agencies. The analytical model is tested empirically by using data from two hotels and managerial implications are discussed.

关键词： Result caching   Temporal query behavior   Temporal search   Result cache performance  

摘要： A commonly used technique for improving query response time in retrieval systems is storing query-relevant information in a fast access memory storage such as a result cache. The effectiveness of the result cache heavily relies on giving correct admission and eviction decisions, which require careful analysis of query and stream characteristics. Due to anonymous and global user access patterns, search engines are often considered time-invariant architectures: query characteristics are frequently collected globally, and assumed to be unchanging for long periods of time. However, the highly distributed nature of the modern search engine framework consequently led to noticeable temporal changes in user access patterns through short periods of time for each of the data center within the distributed network. The work presented here attempts to evaluate temporal variations in query submissions and exploit them in order to improve the result caching performance. To this end, query logs are analyzed in order to verify the availability of such variations and a new caching framework that facilitate these changes is proposed. The proposed framework partitions the result cache into three segments: a static segment that stores the most frequent queries in an offline fashion, a newly introduced semi-static segment on top of the state-of-the-art Static-Dynamic Cache (SDC) that changes content during different periods of the day, and a dynamic segment that is maintained in an Least Recently Used (LRU) fashion. Conducted experiments demonstrate that the proposed caching framework improves the hit rate of a search engine result cache up to 3.31% and query response time up to 7.27% with respect to the state-of-the-art techniques.

关键词： Social media   Tourism forecasting   Baidu index   Big data predictors   Elastic net   Lasso regression  

摘要： Purpose - This paper aims to compare the forecasting performance of different models with and without big data predictors from search engines and social media. Design/methodology/approach - Using daily tourist arrival data to Mount Longhu, China in 2018 and 2019, the authors estimated ARMA, ARMAX, Markov-switching auto-regression (MSAR), lasso model, elastic net model and post-lasso and post-elastic net models to conduct one- to seven-days-ahead forecasting. Search engine data and social media data from WeChat, Douyin and Weibo were incorporated to improve forecasting accuracy. Findings - Results show that search engine data can substantially reduce forecasting error, whereas social media data has very limited value. Compared to the ARMAX/MSAR model without big data predictors, the corresponding post-lasso model reduced forecasting error by 39.29% based on mean square percentage error, 33.95% based on root mean square percentage error, 46.96% based on root mean squared error and 45.67% based on mean absolute scaled error. Practical implications - Results highlight the importance of incorporating big data predictors into daily demand forecasting for tourism attractions. Originality/value - This study represents a pioneering attempt to apply the regularized regression (e.g. lasso model and elastic net) in tourism forecasting and to explore various daily big data indicators across platforms as predictors.

关键词： Web挖掘   网络搜索引擎   应用  

摘要： 针对当前网络信息的发展需求呈现爆炸式增长,对网络搜索引擎提出了更高要求。采用理论结合实践的方法,首先Web信息检索挖掘技术做了简要概念,其次对基于Web挖掘的网络搜索引擎技术的应用进行了分析,提出了一种给予Web挖掘的个性化搜索引擎,并对各系统模块的功能及实现方式进行研究,分析结果表明,此种系统具有很强的检索灵活性,而且还能实现个性化查询结果,能够满足信息时代,信息数据挖掘和检索的需求,值得大范围推广应用。

关键词： 人工智能应用   搜索引擎   媒体应用   社交媒体   智能媒体   媒体属性   媒体领域   跨时代  

摘要： 人工智能应用在媒体的发展是需要“脑洞”的,我们期待的创新是一个颠覆性、跨时代的创新。这一类在历史上令人振奋的创新例子,在过去30年层出不穷。从网站的媒体应用,到搜索引擎,到App,到社交媒体的发展,都是我们看到的具备媒体属性的历史性创新。而智能媒体的“脑洞”,是要体现价值创新的,这是一个从技术到应用的复合型“脑洞”,是从技术到商业的复合型“脑洞”,也是从技术到资本的复合型“脑洞”。

关键词： 中国   美国   政府网站   政务服务   搜索引擎   平台   评价   电子政务  

摘要： [目的/意义]我国各级政务服务平台发展迅速,政务服务搜索引擎是平台提供政务服务、提升服务质量的重要功能模块。服务搜索与通用站内搜索不同,以查准率为主要目标,重在精确定位服务事项,面临的主要障碍是用户缺乏领域知识。[方法/过程]通过文献调研,分析归纳搜索引擎评价研究中采用的评价指标,并针对服务搜索特性构建搜索关键词,设定搜索引擎特征。对我国34个省级政务服务平台和美国51个州政府网站的搜索引擎进行调研,每个省(州)采集13个搜索关键词的首页搜索结果。用两组独立样本非参数检验分析中美服务搜索的搜索设置和搜索结果的差异。[结果/结论]中美服务搜索在搜索精度、提供历史搜索词、提供排序选项等约1/3的调研项目上无显著差异。中国在提供热搜词、相关词等功能上优于美国,美国在模糊搜索、提供标准用词、目录搜索等功能及搜索结果数量上优于中国。研究发现服务资源地理分割现象是导致服务搜索难以精确定位的重要因素。解决方案首先是通过持续更新的政务服务同义词、近义词词表来构建用户和政府机构在领域知识上的桥梁,然后通过智能匹配3个地理要素来实现精确定位,还可以通过搜索引擎优化(SEO)使平台服务资源数据便于被搜索引擎抓取。

关键词： 微生物组   大数据   搜索引擎   疾病检测   生物信息  

摘要： 基于微生物组搜索引擎和大数据,可建立一种不受限于特定疾病、不依赖于生物标记的微生物组疾病检测新方法.显著改善检测中适用性.准确性和抗污染性等方面的问题,为微生物组技术在人体健康和生态监控等领域的研究和应用带来了新思路和新手段。微生物是地球上最早进化形成的生命体之一,它们与后续进化的动植物以及人类等相互影晌,形成各种各样的复合体系。

关键词： 搜索引擎   商业机密   搜索排名   服务质量   关键因素   具体算法  

摘要： 淘宝的搜索引擎算法是商业机密,我们不知道具体算法,但是我们可以分析出影响排名的关键因素有商品描述质量、卖家服务质量和搜索相关性等。