![]() ![]() However, user perceptions do not always coincide with system designers' notions of quality. It seems reasonable to assume that relevance of the results is the most important factor: blindingly fast, useless answers do not make a user happy. Speed of response and the size of the index are factors in user happiness. First, on the difference between perceived relevance and measured relevance: The key utility measure is user happiness. Let me try to pick out some excerpts to show at least a few examples of why I found this book so valuable. It not only describes how to build a search engine (including crawling, indexing, ranking, classification, and clustering), but also offers the kind of opinionated wisdom you can only get from people who have had substantial experience using these techniques at large scale. ![]() If you work in search or if you are just the kind of person that reads textbooks for fun, this one is a great one. Three search gurus, Chris Manning, Prabhakar Raghavan (head of Yahoo Research), and Hinrich Schutze, just published a wonderful new book, " Introduction to Information Retrieval". Now, I think I may have found a new favorite. I've been looking for one I liked as much for the last few years, but just hadn't come across anything as practical or useful as that old text. My old favorite book on search, " Managing Gigabytes", is getting quite dated at this point.
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