The automated categorization (or classification) of texts into predefined categories has
witnessed a booming interest in the last 10 years, due to the increased availability of …

In this paper we review studies of the growth of the Internet and technologies that are useful
for information search and retrieval on the Web. We present data on the Internet from several …

The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …

As recently as the 1990s, studies showed that most people preferred getting information
from other people rather than from information retrieval systems. Of course, in that time …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Abstract The Probabilistic Relevance Framework (PRF) is a formal framework for document
retrieval, grounded in work done in the 1970–1980s, which led to the development of one of …

Luciano Floridi presents a book that will set the agenda for the philosophy of information. PI
is the philosophical field concerned with (1) the critical investigation of the conceptual nature …

Introduction to Information Retrieval ` `%%%`#`&12_`__~~~ alse [0.5cm] IIR 19: Web Search
Page 1 Recap Big picture Ads Duplicate detection Spam Web IR Size of the web Introduction …

We introduce and create a framework for deriving probabilistic models of Information
Retrieval. The models are nonparametric models of IR obtained in the language model …

A novel probabilistic retrieval model is presented. It forms a basis to interpret the TF-IDF term
weights as making relevance decisions. It simulates the local relevance decision-making for …