Efficient and effective text retrieval techniques are critical in managing the increasing
amount of textual information available in electronic form. Yet text retrieval is a daunting task …

The ability to effectively rank retrieved documents in order of their probable relevance to a
query is a critical factor in statistically-based keyword retrieval systems. This paper …

This paper discusses the two major query evaluation strategies used in large text retrieval
systems and analyzes the performance of these strategies. We then discuss several …

Applying information retrieval techniques to the World Wide Web (WWW) environment is a
challenge, mostly because of its hypertext/hypermedia nature and the richness of the meta …

The experimental evidence accumulated over the past 20 years indicates that textindexing
systems based on the assignment of appropriately weighted single terms produce retrieval …

The experimental evidence accumulated over the past 20 years indicates that text indexing
systems based on the assignment of appropriately weighted single terms produce retrieval …

As the amount of electronic information increases, traditional lexical (or Boolean) information
retrieval techniques will become less useful. Large, heterogeneous collections will be …

In the vector space model for information retrieval, term vectors are pair‐wise orthogonal,
that is, terms are assumed to be independent. It is well known that this assumption is too …

We investigate the application of a novel relevance ranking technique, cover density
ranking, to the requirements of Web-based information retrieval, where a typical query …

In this paper, we introduce TextRank–a graph-based ranking model for text processing, and
show how this model can be successfully used in natural language applications. In …