Information Processing and Management: an International Journal

Proof-of-Work (PoW) is a common mechanism used to validate peer-to-peer transactions and maintain highly secured immutability of the blockchain. However, this mechanism has been criticized due to its inefficient use of computing ...

• We propose a novel Proof-of-Useful-Work (PoUW) that exploits an NP-hard optimization problem.

• Extract significant data from social media network for business developments?
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For the past few years, business intelligence has been a major field that uses data analysis to produce key information as part of business decision-making. Data collected from social media sites and blogs are analyzed to make business ...

This article focuses on the tracking problem of loan loss-linking customers based on the family mobile social-contact big data network. By defining suspected loan loss-linking customer and family member intimacy, a mobile social-...

Ranking items or people is a fundamental operation at the basis of several processes and services, not all of them happening online. Ranking is required for different tasks, including search, personalization, recommendation, and ...

• In this paper, the Efficient data analytics (EDA) method has been suggested to fix societal challenges.

Technology-intensive industries spend huge resources in the production of products to commercialize successful products. If the appetite on the market continues to change, the capacity to rapidly and cost-effectively refresh the ...

Substantial real cases can be formed in current online medical platforms, constituting potentially rich commercial medical value. In order to obtain the value, it is necessary to mine the preference for user perceived cancer risk in ...

Business Intelligence goal is to investigate, integrate and logically collect and multidimensional analysis of data from varied customer information sources, environment, competitors, markets, and etc. to enhance the performance of ...

• We propose a probabilistic framework integrating sentence-level semantic into PRF for expanding terms which are more semantically consistent with the query.

Existing pseudo-relevance feedback (PRF) methods often divide an original query into individual terms for processing and select expansion terms based on the term frequency, proximity, position, etc. This process may lose some ...

• A Binary Brain Storm Optimization (BBSO) algorithm is being used for the Feature Selection (FS) process and thereby achieving improved classification ...

Advancements in recent networking and information technology have always been a natural phenomenon. The exponential amount of data generated by the people in their day-to-day lives results in the rise of Big Data Analytics (BDA). ...

The importance of query performance prediction has been widely acknowledged in the literature, especially for query expansion, refinement, and interpolating different retrieval approaches. This paper proposes a novel semantics-based ...

• Query performance predictors are proposed based on measuring semantic similarities.

• We construct a Chinese intangible cultural heritage (ICH) knowledge graph (KG).

The development of digital technology promotes the construction of the Intangible cultural heritage (ICH) database but the data is still unorganized and not linked well, which makes the public hard to master the overall knowledge of ...

In synthetic aperture radar (SAR) image change detection, the deep learning has attracted increasingly more attention because the difference images (DIs) of traditional unsupervised technology are vulnerable to speckle noise. However, ...

• This method introduces the variational autoencoder (VAE) for feature learning.
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• We used machine learning algorithms to analyze problems in economic development.

In order to improve the effect of visual analysis of regional economy, this paper uses machine learning algorithms to analyze time series data, uses various models and methods of intelligent data analysis to mine data laws from huge ...

• We built a data model processing system to analyzes the shock effect from three aspects.

The Corona Virus Disease 2019(COVID-19) has a dramatic effect on my country's market and financial system. Although China has controlled the deterioration of the epidemic, this global epidemic will inevitably have an impact on the ...

Multi-modal hashing can encode the large-scale social geo-media multimedia data from multiple sources into a common discrete hash space, in which the heterogeneous correlations from multiple modalities could be well explored and ...

• Discriminative cognitive multi-modal hashing is proposed to achieve multi-modal hash codes.

• Fundamental NLP categorizes text into structured categories.
• We propose a ...

An idiom is a common phrase that means something other than its literal meaning. Detecting idioms automatically is a serious challenge in natural language processing (NLP) domain applications like information retrieval (IR), machine ...

• Intelligent, detection, design phases to analyze the social media message.
• The ...

Business is based on manufacturing, purchasing, selling a product, and earning or making profits. Social media analytics collect and analyze data from various social networks such as Facebook, Instagram, and Twitter. Social media data ...

Digital information exchange enables quick creation and sharing of information and thus changes existing habits. Social media is becoming the main source of news for end-users replacing traditional media. This also enables the ...

• IQ proved to be a successful instrument when applied to fake news identification.

The automatic classification of Arabic dialects is an ongoing research challenge, which has been explored in recent work that defines dialects based on increasingly limited geographic areas like cities and provinces. This paper focuses ...

Continued integration of technology for the purpose of connecting and exchanging data with other devices and systems over the Internet exposes information security (IS) to growing risks. Organizations can thus achieve a strategic ...

• 1.in this paper, business innovation based on artificial intelligence and blockchain technology (BI-AIBT) has been proposed to enhance the business practices ...

The growing business evolution and the latest Artificial Intelligence (AI) make the different business practices to be enhanced by the ability to create new means of collaboration. Such growing technology helps to deliver brand ...

Recommender systems’ (RSs) research has mostly focused on algorithms aimed at improving platform owners’ revenues and user’s satisfaction. However, RSs have additional effects, which are related to their impact on users’ choices. In ...

• Simulating users’ choices under the influence of recommender systems.
• Modelling ...

In information retrieval (IR), the improvement of the effectiveness often sacrifices the stability of an IR system. To evaluate the stability, many risk-sensitive metrics have been proposed. Since the theoretical limitations, the ...

• A unified bias–variance metric evaluates retrieval effectiveness–stability tradeoff.

This study aims at helping people recognize health misinformation on social media in China. A scheme was first developed to identify the features of health misinformation on social media based on content analysis of 482 pieces of ...

When a recommender system suggests items to the end-users, it gives a certain exposure to the providers behind the recommended items. Indeed, the system offers a possibility to the items of those providers of being reached and consumed ...

• We assess unfairness for groups of providers belonging to different geo-graphic continents, considering state-of-the-art recommendation models.

• Drawing on neutralization theory, this study builds a model to examine the predictors of deviant disclosure behavior on Internet platforms and investigates ...

Internet platforms increasingly rely on personal data to maintain user base and attract potential users. However, users might misrepresent their personal information in response to the requests when they expect their personal ...

• BI programs increase corporate value at both the company strategy and levels.
• ...

Business intelligence (BI) incorporates business research, data mining, data visualization, data tools,infrastructure, and best practices to help businesses make more data-driven choices.Business intelligence's challenging ...

WhatsApp emerged as a major communication platform in many countries in the recent years. Despite offering only one-to-one and small group conversations, WhatsApp has been shown to enable the formation of a rich underlying network, ...

• WhatsApp’s underlying co-sharing network favors misinformation spread at large.

General recommenders and sequential recommenders are two modeling paradigms of recommender. The main focus of a general recommender is to identify long-term user preferences, while the user’s sequential behaviors are ignored and ...

• A unified framework to model the users’ purposes and personal preferences.
• ...