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综合多方信息来看,An inverted index is the fundamental data structure behind a search engine. Working off a set of documents to be indexed, you construct an inverted index by splitting each document into tokens. This is called tokenization, and there are many different ways to do it — for this example, we'll use the simplest possible approach, individual words as tokens. The tokens then become the keys on a dictionary-like data structure, while the values are, for each token, the list of all documents where it appears. This list is commonly known as a posting list, because each document is uniquely identified by a numeric value or "posting". When you search for one or more tokens, we load their posting lists; if there is more than one posting list, we intersect them to find the documents that appear in all of them.,推荐阅读whatsapp网页版获取更多信息
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除此之外,业内人士还指出,incremental approach on any file or stream with no problems.
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