Natural Language Processing (NLP) is a research field where a language in consideration
is processed to understand its syntactic, semantic, and sentimental aspects. The …

Multi-stage ranking pipelines have been a practical solution in modern search systems,
where the first-stage retrieval is to return a subset of candidate documents and latter stages …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

Introduction to Information Retrieval is the first textbook with a coherent treatment of classical
and web information retrieval, including web search and the related areas of text …

This paper presents a mathematical definition of the “probability-weighted amount of
information”(PWI), a measure of specificity of terms in documents that is based on an …

The paper combines a comprehensive account of the probabilistic model of retrieval with
new systematic experiments on TREC Programme material. It presents the model from its …

Entries in the burgeoning “text-as-data” movement are often accompanied by lists or
visualizations of how word (or other lexical feature) usage differs across some pair or set of …

Modern database management systems (DBMS) contain tens to hundreds of critical
performance tuning knobs that determine the system runtime behaviors. To reduce the total …

With the rapid growth and dissemination of mobile services, enhancement of customer
satisfaction has emerged as a core issue. Customer reviews are recognized as fruitful …

Statistical language models have recently been successfully applied to many information
retrieval problems. A great deal of recent work has shown that statistical language models …