针对现代运输机和战斗机，介绍了发动机燃油/滑油热管理系统的组成和特征。以RB199和EJ200发动机为例，介绍了发动机燃油/滑油热管理系统​的建模方法。

推荐引擎 描述 recommendation_engines作品与MovieTweetings数据，以提供用户与电影推荐。 我们探讨了三种类型的推荐系统：基于知识的协作过滤和基于内容的推荐系统： 基于知识 使用有关符合用户规范的项目的知识来推荐项目。 协同过滤 基于使用用户项目交互的协作。 基于内容 使用有关项目的信息来查找项目相似性。 通常相似之处与项目描述或目的有关。 依存关系 crash_response_pipelines需要： NumPy 大熊猫 进度条 资料夹说明 包含原始数据和清理的数据。 档案说明 Jupyter笔记本用于数据处理。 从文件夹中的movies.dat和ratings.dat中提取数据，转换数据，并将其加载到movies_clean.csv和reviews_clean.csv（也存储在文件夹中）中。 Jupyter笔记本，用于基于知识的电影推荐

SpchSPA要运行源码，首先得安装微软的两个东东：tts_engines和SpchSPA，微软网站有下http://hi.baidu.com/adver/blog/item/7830454a71af922e09f7ef4f.html

这是一本讲诉搜索开发技术的书，在亚马逊上评分为五星。众所周知，搜索引擎很多技术都很成熟了，但其实践的成本很高，因此，很多相关书籍讲解的大多是概念，而计算机科学的内核是实践，没法动手做的东西，意义都不大。本书特点在于它基于一个信息检索的开源系统Wumpus，使得理论和实践能够结合起来，这或许是它在亚马逊有五星的原因吧，希望有志于信息检索的各位同仁能充书里获得应有的收获

搜索引擎经典书籍 This book provides an overview of the important issues in information retrieval, and how those issues affect the design and implementation of search engines. Not every topic is covered at the same level of detail. We focus instead on what we consider to be the most important alternatives to implementing search engine components and the information retrieval models underlying them. Web search engines are obviously a major topic, and we base our coverage primarily on the technology we all use on the Web,1 but search engines are also used in many other applications. That is the reason for the strong emphasis on the information retrieval theories and concepts that underlie all search engines.

Search Engines: Information Retrieval in Practice 搜索引擎：信息检索实践， W. Bruce Croft is a Distinguished Professor in the Department of Computer Science at the University of Massachusetts, Amherst, which he joined in 1979. In 1992, he became the Director of the Center for Intelligent Information Retrieval (CIIR), which combines basic research with technology transfer to a variety of government and industry partners. He has published more than 180 articles related to information retrieval. Dr. Croft was elected a Fellow of ACM in 1997, received the Research Award from the American Society for Information Science and Technology in 2000, and received the Gerard Salton Award from the ACM Special Interest Group in Information Retrieval (SIGIR) in 2003. Donald Metzler is a Research Scientist in the Search and Computational Advertising group at Yahoo! Research in Santa Clara, CA. He obtained his Ph.D. from the University of Massachusetts in 2007. During his graduate studies he was awarded a Microsoft Live Labs Graduate Fellowship. His research interests include formal information retrieval models, web search, advertising, and machine learning. Trevor Strohman is a software engineer in the Google search quality division. His Ph.D., from the University of Massachusetts Amherst, focused on high-performance text retrieval systems that are easily adaptable to fit specific retrieval applications. He has published papers and presented a tutorial at the top information retrieval conference, SIGIR. He is the creator of the Galago search engine, and the primary developer of the Indri search engine (www.lemurproject.org/indri). He has ten years of professional software development experience, including desktop, server, and web applications.