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Information seeking and use is now routine in people's everyday lives. Searching through various information retrieval systems such as web search engi...Savoir plus
The goal of aggregated search is to provide integrated search across multiple heterogeneous search services in a unified interface--a single query box...Savoir plus
This monograph is the first survey of neural approaches to conversational AI that targets Natural Language Processing and Information Retrieval audien...Savoir plus
Information retrieval with verbose natural language queries has been generating a lot of interest in recent years. The focus of many novel search appl...Savoir plus
Semantic Matching in Search is a systematic and detailed introduction to newly developed machine learning technologies for query document matching (se...Savoir plus
Arabic is ranked as the seventh largest language on the Internet but it has also been the fastest growing language in the last decade in terms of user...Savoir plus
Personalized recommender systems have become indispensable in today's online world. Most of today's recommendation algorithms are data-driven and base...Savoir plus
Computational Advertising (CA), popularly known as online advertising or Web advertising, refers to finding the most relevant ads matching a particula...Savoir plus
Information Retrieval is at the core of our daily lives. Modern search, ranking and indexing systems underpinned by enhanced computing power, fast net...Savoir plus
Temporal dynamics and how they impact upon various components of information retrieval (IR) systems have received a lot of attention in the last decad...Savoir plus
Online evaluation is one of the most common approaches to measure the effectiveness of an information retrieval system. It involves fielding the infor...Savoir plus
Neural models have been employed in many Information Retrieval scenarios, including ad-hoc retrieval, recommender systems, multi-media search, and eve...Savoir plus
Lifelogging represents a phenomenon whereby people can digitally record their own daily lives in varying amounts of detail, for a variety of purposes....Savoir plus
Web Forum Retrieval and Text Analytics: A Survey presents an overview of information retrieval, natural language processing and machine learning resea...Savoir plus
In information retrieval, query auto completion (QAC), also known as type-ahead and auto-complete suggestion, refers to the following functionality: g...Savoir plus
With the rapid progress of deep neural models and the explosion of data resources, dialogue systems that supports extensive topics and chit-chat conve...Savoir plus
The aim of this survey is to bridge two important components of modern information access: information retrieval (IR) and knowledge graphs (KGs). Mode...Savoir plus
Statistical Language Models for Information Retrieval systematically and critically reviews the existing work in applying statistical language models ...Savoir plus
This monograph provides a comprehensive overview of the broad area of semantic search on text and knowledge bases. In a nutshell, semantic search is "...Savoir plus
Ranking in information retrieval has been traditionally approached as a pursuit of relevant information, under the assumption that the users' informat...Savoir plus
Every day, millions of users rely on search engines to satisfy the information needs required for performing many routine tasks. The effectiveness and...Savoir plus
Online advertising is now one of the fastest advancing areas in the IT industry. In display and mobile advertising, the most significant technical dev...Savoir plus
Recommendation, information retrieval, and other information access systems pose unique challenges for investigating and applying the fairness and non...Savoir plus
Search has become ubiquitous but that does not mean that search has been solved. Enterprise search, which is broadly speaking the use of information r...Savoir plus