Fault tolerance How important it is for the service to be reliable. Maintenance How the index is maintained over time. The speed of finding an entry in a data structure, compared with how quickly it can be updated or removed, is a central focus of computer science. Lookup speed How quickly a word can be found in the inverted index. Index size How much computer storage is required to support the index.
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Storage techniques How to store the index data, that is, whether information should be data compressed or filtered. Search engine index merging is similar in concept to the SQL Merge command and other merge algorithms. Traversal typically correlates to the data collection policy. The indexer must first check whether it is updating old content or adding new content. Merge factors How data enters the index, or how words or subject features are added to the index during text corpus traversal, and whether multiple indexers can work asynchronously. Major factors in designing a search engine's architecture include:
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The additional computer storage required to store the index, as well as the considerable increase in the time required for an update to take place, are traded off for the time saved during information retrieval. For example, while an index of 10,000 documents can be queried within milliseconds, a sequential scan of every word in 10,000 large documents could take hours. Without an index, the search engine would scan every document in the corpus, which would require considerable time and computing power. The purpose of storing an index is to optimize speed and performance in finding relevant documents for a search query. 2.1 Challenges in natural language processing.Larger services typically perform indexing at a predetermined time interval due to the required time and processing costs, while agent-based search engines index in real time. Unlike full-text indices, partial-text services restrict the depth indexed to reduce index size. Meta search engines reuse the indices of other services and do not store a local index, whereas cache-based search engines permanently store the index along with the corpus. Media types such as video, audio, and graphics are also searchable. Popular engines focus on the full-text indexing of online, natural language documents. An alternate name for the process, in the context of search engines designed to find web pages on the Internet, is web indexing. Index design incorporates interdisciplinary concepts from linguistics, cognitive psychology, mathematics, informatics, and computer science. Search engine indexing is the collecting, parsing, and storing of data to facilitate fast and accurate information retrieval.
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