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SRCH2 is a search engine specifically made for fast instant search or search as you type. It also supports on-the-fly error correction (fuzzy search). Made from scratch in C++, it delivers high performance and rich features. SRCH2 utilizes many algorithmic and design innovations to take “Google Instant” experiences to your applications.
Category
Search Engine Server
License
Proprietary Software
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
7.2
Features & Functionality
7.6
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Advanced Features
7.6
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Integration
7.6
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Performance
7.6
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Training
7.6
Customer Support
7.6
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Implementation
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Renew & Recommend
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Bottom Line
SRCH2 uses in-memory indexing techniques and algorithms to support high performance and strong features. This approach has many advantages compared to solutions that depend on disk-based structures and a buffer manager.
7.6
Editor Rating
7.4
Aggregated User Rating
1 rating
You have rated this
SRCH2 is a search engine specifically made for fast instant search or search as you type. It also supports on-the-fly error correction (fuzzy search). Made from scratch in C++, it delivers high performance and rich features. SRCH2 utilizes many algorithmic and design innovations to take “Google Instant” experiences to your applications.
The engine runs servers as well as mobile devices.SRCH2 is particularly optimized to support instant search for enterprises, even without query log. Compared to existing answers, SRCH2 not only provides a higher speed for queries with prefix conditions, but also allows customizable ranking for those queries.
SRCH2 uses in-memory indexing techniques and algorithms to support high performance and strong features. This approach has many advantages compared to solutions that depend on disk-based structures and a buffer manager. SRCH2 deploys a novel technique called “3-way indexing” to seamless combine inverted index, trie, and forward index to improve search speed. . SRCH2 has a built-in query optimizer to do cost-based analysis to calculate an efficient plan to deliver high performance.
SRCH2 supports both record-based ACL and attribute-based ACL. Using record-based ACL, SRCH2 can specify which users can access which records, making the data access secure and safe. SRCH2 develops novel techniques to make the ranking function automatically do self tuning based on user query feedback. In particular, after yielding a query, if a user clicks a result and passes that information to the engine and after that the engine can use this feedback to improve the ranking function. The next time the same query is submitted, possibly by another user, the engine can intelligently improve the ranking and boost the relevance of the result choosed by the first user. In this way, the engine can gradually get “smarter” to find relevant answers for users.
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By clicking Sign In with Social Media, you agree to let PAT RESEARCH store, use and/or disclose your Social Media profile and email address in accordance with the PAT RESEARCH Privacy Policy and agree to the Terms of Use.