Infrastructure investments play a crucial role in global development, but their successful delivery is becoming increasingly complex. Issues such as governance, ownership, and policy responsiveness can impact project outcomes. Without strategic management, projects may face challenges like inadequat

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Dive into the world of product and knowledge graphs, uncovering the journey to a rich product graph, examples of knowledge graphs for songs, and the mission to provide comprehensive information on products and related knowledge. Discover use cases ranging from information provision to enhancing sear

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Multimedia systems require specific hardware and software components to meet the demands of producing and playing multimedia content. Development systems are used for creating content with higher specifications, while playback systems are used for playing multimedia files with lower specifications.

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EVStore presents a novel approach to scaling embedding tables in deep recommendation systems, offering a three-layer caching system that optimizes storage and caching capabilities. By leveraging groupability-aware caching, mixed-precision caching, and embedding approximation, EVStore achieves lighte

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Characterizing Distributed Systems: Multiple autonomous computers with CPUs, memory, storage, and I/O paths, interconnected geographically, shared state, global invariants. Classifying Distributed Systems: Based on synchrony, communication medium, fault models like crash and Byzantine failures. Comp

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Management in organizations is divided into three levels: operational, tactical, and strategic. Each level requires different information systems to support various activities. Operational systems focus on routine transactions and control processes, while middle-level systems aid in semi-structured

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The programmatic items for the INFCOM-3 Information Session include considerations of WMO Programmes relevant to the Commission, work programmes for the next intersessional period, and subsidiary bodies. Highlighted is the draft Recommendation 5/1 on the Expanded World Weather Watch Programme and th

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This clinical update, adapted from the 2022 guideline by the American Heart Association and American Stroke Association, covers a comprehensive range of topics related to the management of patients with spontaneous intracerebral hemorrhage. It includes information on population health implications,

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Recommender systems play a crucial role in providing personalized recommendations to users. This article delves into various types of recommender systems including Collaborative Filtering, Content-Based, Knowledge-Based, and Group Recommender Systems. Collaborative Filtering involves making predicti

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The slides provide valuable insights into utilizing massive datasets for improving recommendation systems. Topics covered include high-dimensional data, customer behavior analysis, examples of application in search and recommendations, scarcity to abundance in retail, and the importance of recommend

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Embedded Systems Design, Chapter 1 provides an insightful overview of embedded systems, distinguishing them from general-purpose computers. The chapter delves into the characteristics of embedded systems, their design considerations, and the various types of embedded computers such as general-purpos

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Understanding the importance and impact of recommendation letters in various contexts such as academic applications, job opportunities, promotions, and awards nominations. Guidelines on whom to write letters for and the reasons behind writing them. Emphasizes maintaining integrity and providing accu

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This content outlines the competencies required for Pretrial Services Officers (PSOs) in Court Services, focusing on knowledge of diagnostic systems, regulatory requirements, organizational protocols, mental health conditions, and more. It details the expectations, skills, and competencies PSOs need

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Artificial Intelligence (AI) is the ability for computers to mimic human thought processes, learn, and perform complex tasks independently. Machine learning is a subset of AI that enables systems to recognize patterns and make decisions. Sophia the AI robot is a humanoid robot designed for research

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Dr. Yu Zheng, a leading researcher at Microsoft Research and Shanghai Jiao Tong University, delves into the paradigm of trajectory data mining, focusing on uncertainty, trajectory patterns, classification, privacy preservation, and outlier detection. The process involves segmenting trajectories, ext

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The ITU Regional Standardization Forum for Africa held in Kampala, Uganda in June 2014 introduced ITU-T Recommendation E.807, focusing on the definitions and measurement methods of user-centric parameters for call handling in cellular mobile voice service. The recommendation outlines five key parame

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Delve into the world of JSON-LD consumption and experiments with Primo's latest linked data. Learn about using tools like JQ, understanding JSON-LD validity, and exploring Primo's new RESTful Analytics Search API and more. Discover the importance of identifying collection strengths, topic modeling,

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Amazon (AMZN) is a global e-commerce and cloud computing giant, known for its strong growth potential in segments like AWS and advertising. The company, founded in 1994, has diversified revenue streams and focuses on disruptive innovation. However, it faces stiff competition, profit uncertainty due

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Information systems play a crucial role in organizations, encompassing transaction processing systems, functional area information systems, and enterprise resource planning systems. This content delves into the purpose of transaction processing systems, the support provided by information systems ac

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Learn the strategies for obtaining strong letters of recommendation for scholarships and job applications. Discover the difference between good and outstanding letters, network effectively, and make compelling requests to enhance your chances of success.

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The research presented at the 33rd AAAI Conference on Artificial Intelligence focuses on developing an explainable deep model for recommendation systems. It addresses challenges in extracting explicit features from noisy data and proposes a Deep Explicit Attentive Multi-View Learning Model. This mod

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COBAFI: COLLABORATIVE BAYESIAN FILTERING is a model developed by Alex Beutel and collaborators to predict user preferences in online recommendation systems. The model aims to fit user ratings data, understand user behavior, and detect spam. It utilizes Bayesian probabilistic matrix factorization and

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This research paper presents a novel approach, HRL4Ba, for Next-basket Recommendation (NBR) by addressing the challenge of guiding recommendations based on historical baskets that may contain noise products. The proposed Hierarchical Reinforcement Learning framework incorporates dynamic context mode

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The EU-CERT project is organizing a Transnational Partner Meeting (TPM5) in Paderborn, Germany, followed by the Final Policy Recommendation Conference in March 2024. The dissemination activities include social media posts, printed materials, articles, and face-to-face meetings to promote the project

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Request a Labor Market Information (LMI) report to initiate the Program Recommendation Process. Fill out the SMC LMI form, gather Industry Advisory Board minutes, and submit the program application with required documentation for approval by the Academic Senate and Regional Consortium. Follow specif

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This research introduces a Denoising-Guided Deep Reinforcement Learning framework, DRL4So, for enhancing social recommendation systems. By automatically masking noise from social friends to improve recommendation performance, this framework focuses on maximizing the positive utility of social denois

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Uncover the intricacies of crafting impactful letters of recommendation for trainees with insights on responsibilities, essential features, common pitfalls to avoid, and tailoring based on performance level. Delve into the challenges faced and embrace the fantasy land of LoRs while addressing key pr

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Gender bias in academic letters of recommendation has been highlighted through various studies, showing disparities in the language used for male and female applicants. Female applicants often receive shorter letters with fewer standout words, more communal adjectives, and references to teaching rat

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In this presentation, the xStreams system is introduced for recommending items to users with changing preferences. The methodology involves learning user preferences, finding similar users, and providing item recommendations. The motivation behind the system includes dealing with vast amounts of dat

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Introducing the Contrastive Knowledge Graph Attention Network (C-KGAT) for personalized recipe recommendation, addressing user preferences and noise in interactions. The model leverages a collaborative knowledge graph, user-recipe interactions, and textual features to recommend top-K recipes to user

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This document discusses smoothness recommendations for High-Efficiency Long Training Field (HE-LTF) in the IEEE 802.11 standard. It includes contributions from multiple authors representing various affiliations. The recommendations aim to enhance the performance of wireless communication systems uti

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This text introduces several cutting-edge research projects in different domains, including signal processing, tourism recommendation systems, price prediction, hotel rating anticipation, and natural language processing for translations. Each project aims to solve unique challenges using advanced te

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Introducing local invariance to Session-Based Recommendation (SBR), the proposed model considers both detailed ordering and high-level session ordering. By explicitly capturing local context information and global sequential patterns, the model outperforms existing methods in predicting the next use

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Discussion and recommendation report for the ctcLink Steering Committee regarding Gate 2 implementation, including milestones, peer review participants, and peer evaluation rubrics summarizing the project deliverables' ratings on various aspects such as project charter, resource plan, schedule, OCM

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Embedded systems are specialized computer systems embedded within larger systems, such as control systems and car controllers. This lecture covers real-time aspects, applications of Cyber-Physical Systems (CPS), and examples like the Boeing 777/Airbus A380 cockpit. It discusses the design process of

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Explore the concepts of Jaccard Similarity and Cosine Similarity in data mining, along with their applications in recommendation systems and finding near-duplicates. Discover how Sketching and Locality Sensitive Hashing techniques help in efficiently identifying similar items and solving the Nearest

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The SERCOM-3 meeting in Bali, Indonesia, outlined a process for amending technical regulations to include early warning systems. The decision involves targeting the 2025 World Meteorological Congress for approving mature WMO Technical Regulations amendments, coordinating follow-up work on the propos

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The service recommendation provides troubleshooting steps to address ADF scan/copy quality issues on A3 Gemstone products. It advises testing scanning/printing, adjusting settings, cleaning components, and replacing parts if necessary for optimal performance.

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This presentation discusses an efficient keyword-aware travel route recommendation system that leverages user-generated content and location-based social networks to provide diversified and representative travel routes. The system aims to address the challenge of restricting users to limited query o

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Bitruss decomposition is a powerful concept in graph theory to identify cohesive subgraphs in bipartite graphs. This paper by Kai Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, and Ying Zhang presents an efficient approach for computing bitruss numbers of edges in large-scale bipartite graphs. The study ex

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