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----
-categories: [blog, "book review"]
-title: "[Book review] Relevant Search"
-date: 2021-05-06T16:35:08+07:00
-tags: [book, review, search, programming, algorithm]
----
-
-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.  It then shows how a search query is processed by the
-search engine.  After providing basic knowledge of how search work, the authors
-give some examples of relevance score tuning and show how it helps improving
-the relevance of the search results.  Not stopping at the technical view, the
-authors also approach the problem from business view: they note that
-interdiscipline collaboration is important in order to define and increase
-relevance.
-
-# Comments
-
-## What I like
-
-The book approaches the problem from various views: business view, algorithmic
-view, and practical view (giving examples). The book accentuates the diversity
-of problems and thereby encouraging readers to critically think of their own
-problems.  While it suggests that search results should be influenced by
-sponsors, it also notes that without balance that will as well lead to failure.
-
-## What I don't like
-
-Its structure is somewhat unclear and flow to me.  I think some chapters can be
-re-ordered so it's more logical.  Also, I find weighing sponsors' priorities
-over customers' unethical, but that is probably just a harsh truth in this
-society rather than the authors' view.