![]() ![]() USA : Addison-Wesley Publishing Company, 2009. Search Engines: Information Retrieval in Practice. Similarity Search: The Metric Space Approach. Implement support for similarity queries.Implement similarity indexes using Lucene.Our search framework should allow users to configure the similarity measure specifically for their queries (e.g., by specifying weights of different aspects). ![]() Similarity indexes usually work only with a static similarity measure. ![]() Similarity search requires a similarity measure on the data. For example, map your entities like this. We aim to take advantage of these techniques to develop an efficient similarity search framework.Īnother objective is to support flexible similarity queries. Automatic indexing of Hibernate ORM entities into Apache Lucene or. Search engines offer very efficient data access for exact keyword queries. The main objective of the project is to determine whether search engine techniques can be used to support efficient similarity queries. Support for similarity queries is yet extremely limited. In our project, we will work with Apache Lucene – the most popular open-source library containing implementations of many common search engine components and techniques. Highly optimized index structures offer fast access to relevant web pages given the keywords. In the field of search engines and information retrieval, there is much work on finding web pages with exact keyword queries. In most cases, similarity queries need to be answered extremely fast for a satisfying user experience. Lucene is revolutionary when it comes to incremental indexing, which means that individual entries can be modified, added or removed without the need to do it in batch. Another example is finding similar images in an image database, as Google demonstrates with the “Similar image” function. For example, a query to a customer database may contain typos or missing values despite these differences the corresponding database entry should be found by the search application. Given a set of objects, similarity search aims to find all objects similar to a given query object. ![]()
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