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+---
+categories: [blog, "book review"]
+title: "[Book review] Relevant Search"
+date: 2021-05-02T21:35:08+07:00
+tags: [book, review, search, programming, algorithm]
+draft: true
+---
+
+So I decided to review books as I write. As people say, you would understand
+things better when you share it with each other.
+
+Each review will contain:
+
+- metadata: book name, author(s), ISBN, genres, language (please tell if there
+    are some more helpful information)
+- summary: wrap up the content of the book; it should not no more than 5
+    subsections of 150 words each
+- comments: my thoughts on the book -- what I like and don't like about it
+
+# Metadata
+
+| Book | Relevant Search: With applications for Solr and Elasticsearch |
+|---------|------------------------------|
+| Authors | Doug Turnbull, John Berryman |
+| ISBN    | 9781617292774                |
+| Genres  | Programming                  |
+| Language| English                      |
+
+# Summary
+## The search relevance problem
+
+Given an increasingly large amount of information, it is infeasible for users
+to retrieve what they needed.  Relevance scoring is therefore essential for
+search engines.
+
+In general, the relevance engineers have to identify the most important
+features describing the content, the user, or the search query, transfer those
+features to the search engine, then measure what's relevant to the search by
+crafting signals and finally balance the weights of the signals to rank the
+results.
+
+Unfortunately, it is a challenging problem.  Each search application
+serves a different type of content and thus has different expectation for
+relevance.  Consequently, there is no silver bullet to solve this problem.
+Even the academic field that thoroughly study this problem, information
+retrieval is not a one-size-fit all solution.  Relevance is strongly tied with
+the field and the application purpose.
+
+## Tackling the problem
+
+The book approaches the problem first by a top-down analysis of how a typical
+search engine works.
+
+## Taming token
+## Multifield search
+## Term-centric search
+## Shaping relevance function
+## Providing relevance feedback
+## Designing a relevance-focused search application
+## The relevance-centered enterprise
+## Semantic and personalized search
+# Comments