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helps you build advanced search functionalities in Java-based applications (functionalities that will not shy against the big contenders in this field like Google or Yahoo!). But even more important, it relieves the application developer from the burdens of infrastructure and glue code and lets him focus on what matters in the end, optimizing the search queries to return the best possible information. Before jumping into the details of Hibernate Search, we want you to understand where it comes from and why this project was needed. This chapter will help you understand what search means today when speaking about interacting with an information system (whether it be a website, a backend application, or even a desktop). We ll explore how various technologies address the problem. You ll be able to understand where Hibernate Search comes from and what solutions it provides. Take a comfortable position, relax, and enjoy the show.
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Search: transitive verb. To look into or over carefully or thoroughly in an effort to find or discover something. Whenever users interact with an information system, they need to access information. Modern information systems tend to give users access to more and more data. Knowing precisely where to find what you re looking for is the edge case of search, and you have practically no need for a search function in this situation. But most of the time, where and what are blurrier. Of course, before knowing where to look, you need to have a decent understanding of what you re looking for. Surprisingly, some users barely know what they re looking for; they have vague (sometimes unorganized) ideas or partial information and seek help and guidance based on this incomplete knowledge. They seek ways to refine their search until they can browse a reasonably small subset of information. Too much information and the gem are lost in the flow of data; too little and the gem might have been filtered out. Depending on typical system usage, the search feature (or let s call it the reach feature) will have to deal with requests where what is looked for is more or less clear in the user s mind. The clearer it is, the more important it is for the results to be returned by relevance.
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NOTE
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WHAT IS RELEVANCE Relevance is a barbarian word that simply means returning the information considered the most useful at the top of a result list. While the definition is simple, getting a program to compute relevance is not a trivial task, mainly because the notion of usefulness is hard for a machine to understand. Even worse, while most humans will understand what usefulness means, most will disagree on the practical details. Take two persons in the street, and the notion of usefulness will differ slightly. Let s look at an example: I m a customer of a wonderful online retail store and I m looking for a good reflex camera. As a customer, I m looking for a good reflex camera at the lowest possible price, but the vendor might want to provide me with a good reflex
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camera at the highest retail margin. Worst-case scenario, the information system has no notion of relevance, and the end user will have to order the data manually. Even when users know precisely what they re looking for, they might not precisely know where to look and how to access the information. Based on the what, they expect the information system to provide access to the exact data as efficiently and as fast as possible with as few irrelevant pieces as possible. (This irrelevant information is sometimes called noise.) You can refine what you re looking for in several ways. You can categorize information and display it as such, you can expose a detailed search screen to your user, or you can expose a single-search text box and hide the complexity from the user.
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