DYNAMIC INDEX MAINTENANCE FOR TEXT SEARCH ENGINES

Abstract

Text retrieval systems such as internet search engines use high-performance indexes to rapidly locate documents that match user queries. In recent years there have been major improvements in query evaluation and index construction techniques. As the data changes, it is necessary to keep the index up to date, but current methods for maintaining indexes are slow and costly. The aim of this project is to develop methods that provide on-the-fly update at much lower cost, thereby improving the performance of text retrieval systems. This work involves both practical development and innovation in fundamental algorithms.