Abstract: Many NoSQL and SQL systems use log-structured merge (LSM) tree key-value (KV) stores for online big data applications like social networking, graph processing, machine learning, etc. In LSM-tree key-value stores, batch processing of sorted…
Abstract: Many reviews-rating integration studies have improved recommendation performance. These works still have flaws: (1) Dynamically integrating review and interaction data features is often overlooked, but treating them equally may lead to a faulty understanding…
Abstract: Traffic congestion has become a major economic and environmental problem for urban areas worldwide. Traffic prediction is an effective way to reduce congestion. Traffic prediction research has grown since the late 1970s. Early studies…
Abstract: Recommender systems model user preferences to reduce information explosion and improve online application user experience. Recommender systems still face data sparsity and cold-start issues despite many efforts. Recommending with knowledge graph side information has…
Abstract: Deep neural networks excel at many benchmark vision tasks thanks to large labeled training datasets. Obtaining large amounts of labeled data is costly and time-consuming in many applications. Many have tried to directly apply…
Abstract: Self-Sovereign Identity (SSI) is a novel and emerging decentralized digital identity approach that allows entities to control and manage their digital identifiers and identity data while improving trust, privacy, security, and many other properties…
Abstract: In the COVID-19 pandemic, activity-tracking and location-based services using short-range communication (SRC) have become increasingly popular, especially for automated contact tracing. 1) How to safeguard data and location privacy? 2) how to efficiently and…
Abstract: Blockchain-based tokens can enable the sharing economy and make society more sustainable. However, little is known about how these tokens affect human sharing behavior, making cryptoeconomic incentive design difficult. This study uses self-determination theory…
Abstract: Consensus is crucial to a blockchain system because it allows a group of untrusted nodes to agree. Most blockchain consensus works assume that a block always reaches every participating node during the consensus process…
Abstract: EHRs store health data digitally. EHRs are shared by healthcare stakeholders, making them vulnerable to power outages, data misuse, lack of privacy, security, and audit trails. However, blockchain technology allows nodes in a list…
Abstract: By 2025, smart applications will connect over 75 billion devices to the IoT ecosystem. Sensors provide data, and applications pay data producers. IoT payments and marketplaces enable billions of connected devices to make micro-transactions…
Abstract: Bitcoin has inspired a new generation of blockchain-based technologies over the past decade. Its protocol dominates cryptocurrencies and distributed networks. All permissionless blockchains often implement P2P layer solutions in their network layer. The Bitcoin…
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