Faster Top-k Document Retrieval in Optimal Space

Navarro G.; Thankachan, SV

Abstract

We consider the problem of retrieving the k documents from a collection of strings where a given pattern P appears most often. We show that, by representing the collection using a Compressed Suffix Array CSA, a data structure using the asymptotically optimal vertical bar CSA vertical bar + o(n) bits can answer queries in the time needed by CSA to find the suffix array interval of the pattern plus O( k lg(2) k lg(epsilon) n) accesses to suffix array cells, for any constant epsilon > 0. This is lg n/lg k times faster than the only previous solution using optimal space, lg k times slower than the fastest structure that uses twice the space, and lg 2 k lg(epsilon) n times the lower-bound cost of obtaining k document identifiers from the CSA. To obtain the result we introduce a tool called the sampled document array, which can be of independent interest.

Más información

Título según WOS: Faster Top-k Document Retrieval in Optimal Space
Título de la Revista: LEARNING AND INTELLIGENT OPTIMIZATION, LION 15
Volumen: 8214
Editorial: SPRINGER INTERNATIONAL PUBLISHING AG
Fecha de publicación: 2013
Página de inicio: 255
Página final: 262
Idioma: English
Notas: ISI