Segmenting postings list reader
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[0040]Posting lists in a search index are described by Zipf's law, which states that given a corpus of natural language documents, the frequency of any word is inversely proportional to its rank in the frequency table.
[0041]FIG. 1 shows, for an index built from a natural language corpus, a graph 100 of term rank 102 versus document frequency 104, where document frequency is the number of distinct documents the term occurs in. Another way to think about document frequency is posting list length. The graph shows that most terms have very short posting lists, and only relatively few posting lists are long.
[0042]Observing that queries submitted to a search system are little natural language documents, they too adhere to Zipf's law. It follows that the relatively few long posting lists in a search index are also the most frequently accessed during query processing. An efficient read strategy for long posting lists can help a search system deliver fast query run times. It is convenient th...
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