Objective Little research has been done on the user-centered document ranking approach, especially in a crowdsourcing chart review environment. As the starting point of designing and implementing the next generation of Electronic Medical Record (EMR) search engines, a systematic user study is...

The leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as "data" in a downstream econometric model. We establish theoretical arguments for why...

The leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as "data" in a downstream econometric model. We establish theoretical arguments for why...

Die wissenschaftsgeleitete Politik- und Gesellschaftsberatung hat in den letzten Jahren enorm an Bedeutung gewonnen und ist fortwährend vielfältiger geworden. Politische Entscheidungen basieren immer häufiger auf empirischen Forschungsergebnissen und Gutachten. Allerdings kann die Suche nach...

Search engines play a central role in online content discoverability, acting as a major gateway for users to access online information. As part of their activities, they may drive traffic towards websites that offer illegal goods and services, such as counterfeit products or pirated content....

This special issue features the selected works of authors who have presented papers at the 2022 iteration of the Joint Conference on Digital Libraries (JCDL) in Cologne, Germany. The motto of the conference was “Bridging Worlds” and was run as a fully hybrid event. Ten papers covering all...

With the booming of LLM technologies (e.g., ChatGPT), people's goals and behaviors in information search have been reshaped significantly. This paper attempts to conceptually discuss how LLM technologies might revolutionize these important aspects in information search and provides a...

The leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as "data" in a downstream econometric model. We establish theoretical arguments for why...

The aspect-based sentiment analysis of hotel reviews represents a critical yet underexplored area of research. Such reviews encompass a range of expressions that extend beyond simple positive, negative, or neutral sentiments, delving into specific aspects discussed within the review. For...

The leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as “data” in a downstream econometric model. We establish theoretical arguments for...

Purpose Develop a comprehensive framework for assessing the knowledge organization systems (KOSs), including the taxonomy of Wikipedia and the ontologies of Wikidata, with a specific focus on enhancing management and retrieval with a gender nonbinary perspective. Design/methodology/approach This...

Internet plays a crucial role in the modern digital period, government make official pronouncement online, politician campaign online, writers find audience online, teachers find students online, resource experts find researchers online, land protest movement find traction online and advocates...

In this study, we examine whether and how managers' intentions to raise equity are associated with future stock price crash risk. Therefore, we apply modern information retrieval techniques to corporate textual disclosures by constructing document embeddings that preserve contextual...

We live in a world where digital images are constantly generated during our daily activities, whether private or business. They play an important role in our private life, showing important moments, people, places, or events and keeping their memory. Images are unavoidable in business,...

We study the impact of web search personalization on ideological segregation in search results. We deploy 150 synthetic internet users with randomized partisan preferences across 25 US cities. These users generate authentic browsing histories and are active during the US 2020 election and its...

Purpose The objective of this paper is to describe the evolution of the available subject heading list, i.e. the CC Soggettario (Carabinieri Corps Soggettario), towards a thesaurus, that is CCThes (Carabinieri Corps Thesaurus), to support subject indexing and retrieval of the documentary...

Purpose The study aims to paint a representative picture of the current state of search interfaces of Swedish online museum collections, focussing on search functionalities with particular reference to subject searching, as well as the use of controlled vocabularies, with the purpose of...

Document (text) classification is a common method in e-business, facilitating users in the tasks such as document collection, analysis, categorization and storage. Semantic analysis can help to improve the performance of document classification. Though having been considered when designing...

Modern-day search platforms generally have two layers of information presentation. The outer layer displays the collection of search results with attributes selected by platforms, and consumers click on a product to reveal all its attributes in the inner layer. The information revealed in the...

How do privacy regulations in the market impact online search for products and information? This paper investigates the impact of the General Data Protection Regulation (GDPR for short) on consumers’ online browsing and search behavior using consumer panels from four countries, United Kingdom,...

We develop a flexible yet tractable model of consumer search and choice, and applyit to the problem of product rankings optimization by online retail platforms. In themodel, products are characterized by an observable search index, which governs whatconsumers search; and a utility index, which...

New sorted out web databases keep up enormous and assorted information and these genuine databases incorporate more than hundreds or even a colossal number of relations and characteristics. Normal predefined request structures are not prepared to satisfy distinctive uncommonly selected inquiries...

This paper studies the effects of the high-speed internet expansion on the match quality of new hires. We combine data on internet availability at the local level with German individual register and vacancy data. Results show that internet availability has no major impact on the stability of new...

Consider the problem faced by a decision maker (DM) who must select the order in which to evaluate the unknown alternatives displayed by an online search engine. DMs do not know the distribution of the realizations that result from clicking on an alternative and must therefore account for the...

This paper studies the power of online search intensity metrics, measured by Google, for examining and forecasting exchange rates. We use panel data consisting of quarterly time series from 2004 to 2018 and ten international countries with the highest currency trading volume. Newly, we include...

This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some...

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures,...

QuantNet being an online GitHub based organization is an integrated environment consisting of different types of statistics-related documents and program codes called Quantlets. The QuantNet Style Guide and the yamldebugger package allow a standardized audit and validation of YAML annotated...