信息检索导论
Introduction to information retrieval
Christopher D. Manning、Prabhakar Raghavan、Hinrich Schütze · 初版 2008 年
41人推荐
44位读者提及
45次提及
为什么值得读
- 适合先通读建立词汇再作算法参考
- 语言流畅易读被读者视为标准教材
- 涵盖PageRank等搜索排序核心算法
这本教材经过课堂检验且逻辑严密，从基本概念入手系统讲授经典与网络信息检索，涵盖网页搜索及文本分类、文本聚类等相关领域。它对文档收集、索引建立与检索系统的设计和实现全流程，系统评估方法，以及将机器学习方法应用于文本集的入门介绍，均进行了与时俱进的论述。所有重要思想均配有实例和图表进行阐释，非常适合作为高年级本科生
Hacker News 上怎么说
正在加载完整评论……
《Introduction to Information Retrieval》：http://www.amazon.com/dp/0521865719/ 《Convex Optimization》：http://www.amazon.com/dp/0521833787/ 《Foundations of Statistical Natural Language Processing》：http://www.amazon.com/dp/0262133601/ 读读 Peter……
Introduction to Information Retrieval: http://www.amazon.com/dp/0521865719/ Convex Optimization: http://www.amazon.com/dp/0521833787/ Foundations of Statistical Natural Language Processing: http://www.amazon.com/dp/0262133601/ Read Peter…
我由衷推荐《Introduction to Information Retrieval》：http://www.amazon.com/Introduction-Information-Retrieval-Ch... 先粗略浏览一遍积累专业词汇，然后把它作为 IR 算法的参考书。
I heartily recommend "Introduction to Information Retrieval": http://www.amazon.com/Introduction-Information-Retrieval-Chr... Skim it once to collect vocabulary, then use it as a reference for IR algorithms.
……Google（最初）排序算法的核心 PageRank，它受到了像 h-index 这种思想的启发。https://en.wikipedia.org/wiki/PageRank 另外，我们用的那本“标准”教材可读性相当不错：Manning 等人写的《Introduction to Information Retrieval》。https://www.amazon.com/Introduction-Information-Retrieval-Ch...
…the core of Google's (original) ranking algorithm, PageRank, which is inspired by ideas like h-index. https://en.wikipedia.org/wiki/PageRank Also, the "standard" book which we used is quite readable: Introduction to Information Retrieval by Manning, et al. https://www.amazon.com/Introduction-Information-Retrieval-Ch...
我也对搜索引擎非常感兴趣，有两本书我挺推荐的：《信息检索导论》（Introduction to Information Retrieval）：https://www.amazon.com/Introduction-Information-Retrieval-Ch... 《搜索用户界面》（Search User Interfaces）：https://www.amazon.com/Search-User-Interfaces-Marti-Hearst-e...
I'm also very interested in search engines this are two books I would recommend: Introduction to Information Retrieval: https://www.amazon.com/Introduction-Information-Retrieval-Ch... Search User Interfaces: https://www.amazon.com/Search-User-Interfaces-Marti-Hearst-e...
我会称那为信息检索，而不是机器学习。索引文档并不比文件系统存储文件更“学习”，TF-IDF 和 BM25 只是加权函数。 但当然，这是个有趣的话题。如果你想了解更多，最广泛使用的教材的第一版是免费的： http://www-nlp.stanford.edu/IR-book/
I'd call that Information Retrieval, not Machine Learning. Indexing documents doesn't "learn" any more than a file system storing files, and TF-IDF and BM25 are simply weighting functions. But of course, it's an interesting topic. If you want to learn more, the first edition of the most widely used textbook is free: http://www-nlp.stanford.edu/IR-book/
……对这个市场的验证。虽然我算是个挺能打的 hacker，但我对搜索领域还是个新手。我读了一些关于搜索和通用信息检索的资料，还弄了一本 Manning 等人写的《Introduction to Information Retrieval》（http://nlp.stanford.edu/IR-book/information-retrieval-book.html），看着棒极了。不过，我不想重复造太多轮子，至少在万不得已之前不想造。我正打算深入研究……
…validation of this market. Although I'm a pretty competent hacker, I'm new to search. I've done some reading on search and information retrieval in general, and picked up a copy of Manning et al.'s "Introduction to Information Retrieval", (http://nlp.stanford.edu/IR-book/information-retrieval-book.html) which looks fantastic. However, I don't want to reinvent too many wheels, at least not until I really have to. I'm planning to dive…