In this paper we present a novel technique for nearest neighbor searching dubbed neighborhood approximation. The central idea is to divide the database into compact regions repres...
Inverted indexes are the most fundamental and widely used data structures in information retrieval. For each unique word occurring in a document collection, the inverted index sto...
Manish Patil, Sharma V. Thankachan, Rahul Shah, Wi...
Several IR tasks rely, to achieve high efficiency, on a single pervasive data structure called the inverted index. This is a mapping from the terms in a text collection to the docu...
An indexing model is the heart of an Information Retrieval (IR) system. Data structures such as term based inverted indices have proved to be very effective for IR using vector sp...
Inverted index structures are the mainstay of modern text retrieval systems. They can be constructed quickly using off-line mergebased methods, and provide efficient support for ...
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 ...
Today, two classes of indexing methods enjoying wide applicability are the Inverted Index and the Superimposed Coding based Signature File (SC-SF). The former is most efficient i...
Dimitrios Dervos, P. Linardis, Yannis Manolopoulos
A novel Hardware Assisted Top-Doc (HAT) component is disclosed. HAT is an optimized content indexing device based on a modified inverted index structure. HAT accommodates patterns...
Information retrieval is the selection of documents relevant to a query. Inverted index is the conventional way to store the index of the collection. Because of the large amounts ...
Large search engines process thousands of queries per second on billions of pages, making query processing a major factor in their operating costs. This has led to a lot of resear...