Introduction to Information Retrieval

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Link Analysis. Page, S. Brin, R.


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Motwani, T. Authoritative sources in a hyperlinked environment.

Exam (July 3): Results

Journal of the ACM 46 Text Processing ,. Dumais, E. Cutrell, E. Cadiz, G.

Information Retrieval

Jancke, R. Stuff I've Seen: A system for personal information retrieval and re-use. SIGIR QA slides. IR and DB. Sep 12, Emily rated it really liked it Shelves: This is a very useful book, available for free online. It introduces the major concepts of IR in a clear way.

Introduction to Information Retrieval

At the end of most chapters is an optional discussion of advanced topics. I wish the book went a little bit into examples of programming, but that's for someone else to take on, I guess. Librarians should be forced to read at least parts of this book in school, to better understand why Google is eating our lunch. May 15, Alex Ott rated it it was amazing Shelves: ir-dm-nlp-ml-search , own-pbook. You can also find "pre-release" version of the book in the form of PDF see links in other reviews May 19, Terran M rated it it was amazing.

This is an excellent theoretical and foundational book on information retreival AKA document search , and also covers some document classification. It does not cover any specific software packages or tools. You don't need this book to throw a bunch of documents into elasticsearch, but you do need it to understand why you're not getting the results you want back and how to fix it. Note that this book was written in and it advocates support vector machines for classification; modern practice This is an excellent theoretical and foundational book on information retreival AKA document search , and also covers some document classification.

Note that this book was written in and it advocates support vector machines for classification; modern practice now largely favors neural networks instead. Nov 15, Moreshwar Datye added it. Good intro;.

Foundations of Information Retrieval (A)

Mar 24, Jaslyn added it. As it's the only book on IR, it's both the best and the worst at the same time. The content is very interesting but the writing style is horrible. Shelves: have-ebook , to-acquire. Feb 24, Maria Mateva rated it it was amazing Shelves: science , favorites. Christopher Manning is a rock star in both the NLP and information retrieval fields.

tertincmantma.gq I used this book as a guide and source for the course in IR in Sofia University. It is well-written, gradual and observes most aspects of IR, with some machine learning, computational linguistics and algorithmic flavours. I recommend it to anyone interested in the field. Jun 01, Joe Malicki rated it it was amazing Shelves: cs. Amazing book. That shouldn't be something worth getting excited about, but unfortunately all of the other good people apparently just went to work for Google instead of writing good textbooks.

Jan 28, Ji rated it liked it. Scanned through quickly. A bit disappointed since I don't feel like learning much new things. Most important concepts are either in the lines of Data management or data mining techniques. Maybe I've missed the main part. Jul 09, Anosh rated it really liked it. I liked the book overall.

I loved the algorithmic optimizations and the attention paid to hardware during algorithm design. Oct 13, Ryfm rated it really liked it. Individual oral exam 20 min at the end of the course. Key topics of the oral exam 'Web Information Retrieval' include: basic methods of text mining and text retrieval; methods of link analysis and authority ranking; basics of search engine design and optimization.

Appointments for oral exam will be introduced during the course. External students: in order to attend the course, you have to apply for Summer Academy participation. Christopher D. We may use cookies to continuously improve our Web site. By clicking on the button 'Accept' you agree to the use of cookies.