Hakutulokset: Sarja foundations and trends® in information retrieval
yhteensä 42 hakutulosta
Methods for Evaluating Interactive Information Retrieval Systems with Users
Provides a foundation on which those new to Interactive Information Retrieval (IIR) can make more informed choices about how to design and conduct IIR evaluations with human …
Efficient Query Processing for Scalable Web Search
Every day, millions of users rely on search engines to satisfy the information needs required for performing many routine tasks. The effectiveness and efficiency of a search engine …
Web Crawling
This is a survey of the science and practice of web crawling. While at first glance web crawling may appear to be merely an application of breadth-first-search, the truth is that …
Music Retrieval
This is the first comprehensive survey of the vast new field of Music Information Retrieval (MIR). It describes a number of issues which are peculiar to the language of music - …
Bandit Algorithms in Information Retrieval
This monograph provides an overview of bandit algorithms inspired by various aspects of Information Retrieval (IR), such as click models, online ranker evaluation, personalization …
Statistical Language Models for Information Retrieval
Statistical Language Models for Information Retrieval systematically and critically reviews the existing work in applying statistical language models to information retrieval, …
An Introduction to Neural Information Retrieval
Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media search, and even conversational systems that …
AGGREGATED SEARCH
The goal of aggregated search is to provide integrated search across multiple heterogeneous search services in a unified interface—a single query box and a common presentation of …
Explainable Recommendation
Explainable recommendation attempts to develop models that generate not only high-quality recommendations but also intuitive explanations. It tries to address the problem of why: …
Efficient and Effective Tree-based and Neural Learning to Rank
Information retrieval researchers develop algorithmic solutions to hard problems and insist on a proper, multifaceted evaluation of ideas. As we move towards even more complex deep …
Patent Retrieval
Intellectual property and the patent system in particular have garnered a lot of attention, even in the public media, over the last few years. This monograph is not concerned with …
Deep Learning for Dialogue Systems
With the rapid progress of deep neural models and the explosion of data resources, dialogue systems that supports extensive topics and chit-chat conversations are emerging in …