Abstract:
Search engines are an essential tool for modern life. We use them to discover new information on diverse topics and to locate a wide range of resources. The search process in all practical search engines is supported by an inverted index structure that stores all search terms and their locations within the search-able document collection. Inverted indexes are highly optimised, and significant work has been undertaken over the past fifteen years to store, retrieve, compress , and understand heuristics for these structures. In this paper, we propose a new self-organising inverted index based on past queries. We show that this access-ordered index improves query evaluation speed by 25%–40% over a conventional, optimised approach with almost indistinguishable accuracy. We conclude that access-ordered indexes are a valuable new tool to support fast and accurate web search.
