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102 articles for “Recommendation System”
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Building Movie Recommendation System using Clustering, Collaborative Filtering, Matrix Factorization and improving the accuracy of the system by incorporating Opinion Mining
Abstract: Recommendation systems is a part of information filtering system which are gaining tremendous popularity and are one of the most used systems these days because of their ability to make suitable predictions depending upon the user’s requirements. A recommendation system is a system that predicts the rating, preference or reviews that a user would give to a particular item. They are used in a variety of fields including movies, music, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
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A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains
Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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A Smart Recommendation System for Carrier Shipper Matching Using Multilabel Classification – A Survey
Abstract: Efficient matching between carriers and shippers is crucial in the logistics industry to optimize resource utilization and minimize costs. This paper puts forth a smart recommendation framework dependent on multilabel classification techniques to improve the carrier-shipper matching process. The method makes use of machine learning techniques to predict multiple relevant carrier options for a given shipment request. We present a comprehensive literature review on related works in carrier-shipper matching and …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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A Comprehensive Study of Application of Evolutionary Computing in Multi-stakeholder Recommendation Systems
Abstract: Recommender systems are customized data get to applications; they are universal in the present online condition, and compelling at finding things that address client issues and tastes. As the range of recommender systems has broadened, it has become clear that the resolute spotlight on the client regular to scholastic research has clouded other significant parts of suggestion results. Properties, for example, reasonableness, equalization, profitability, and correspondence are most certainly not …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 1–5 Read article
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Recommendation System: An Algebraic Perspective of Machine Learning with Knowledge Endorsement
Abstract: ABSTRACTLearning is continual process and machine learning is innovative approach towards information management as well as knowledge management. The endorsement of knowledge in association of big data is crucial task. The machine learning algorithm and technologies gives an insight towards better expansions and consolidation of knowledge. For optimization of knowledge recommendation system plays an important role and gives ground to produce solution. The role of recommendation system is basically one …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 30–34 Read article
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Book Recommendation System Using Item-based Collaborative Filtering Technique and Cosine Similarity
Abstract: The quality of generated recommendations in collaborative filtering recommendation algorithms is determined by how accurately the similarity is calculated. There are multiple ways to improve the accuracy of similarity calculation. All the methods include calculation of user-ratings matrix, user-attribute matrix and item-attribute matrix. Collaborative filtering has two approaches namely user-based Collaborative Filtering and item-based collaborative filtering. This paper discusses item-based collaborative filtering using cosine similarity for determining similar items.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 20–27 Read article
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Tools and Concepts for Building A Collaborative Project Discovery and Development Platform: A Literature Review
Abstract: Collaborative project platforms have become indispensable in modern project management, especially with the rise of remote work, accentuated by the COVID-19 pandemic. This literature review synthesizes recent studies to explore the dynamics of collaborative project platforms, focusing on tool choices, usage patterns, and challenges. Organizations need to be ready to take on the obstacles that come with implementing projects. This study collects information on the objectives and issues faced by …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 13–18 Read article
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System for Predicting and Recommending Placement on Campus
Abstract: The campus placement system uses classification algorithms like decision trees, random forests, support vector classifiers, and logistic regression to estimate the likelihood that an undergraduate student will be hired by a business. The placement prediction method assists in identifying students’ needs and the areas in which they fall short, allowing students to strengthen their profiles and increase their chances of being placed. The placement predictor uses a number of parameters …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 18–25 Read article
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Personalized Movie Recommendations: Leveraging Machine Learning to Enhance Viewer Experience
Abstract: The film industry has experienced a tremendous surge in content creation over the past few decades, leading to an overwhelming array of movies across various genres and languages. As a result, movie enthusiasts often find it challenging to discover films that align with their unique preferences and tastes. To address this issue, the application of machine learning techniques for movie recommendation has gained prominence. An introduction to the idea and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Thermodynamic Analysis of Evacuated Tube Solar Collector based Water Heating System: Experimental Approach
Abstract: Energy from the sun is the most profuse and least extracted source of energy ever used in the history of usable resources. Current work aims to harness solar energy for heating water and put it into use by maximizing its effect through evacuated tube solar collector (ETSC). In this work, the effect of low mass flow rates on thermodynamic performance (energy efficiency, exergy efficiency and rate of irreversibility) of an …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Effects of Swallowing and Oral Care Intervention on Reducing Postextubation Dysphagia among Critically Ill Patients
Abstract: Background: Endotracheal Intubation (ETI) is a life-sustaining technique required for critically ill patients to support mechanical ventilation. However, postextubation dyphagia is a common complication of ETI. Postextubation dysphagia negatively affects patients’ outcomes, leading to delayed recommencement of oral intake, poor quality of life, aspiration pneumonia, longer ICU and hospital stays, and increased 90-day mortality. Moreover, the high economic burdens on public health care systems. Early identification of patients at risk …
Published in International Journal of Nursing Critical Care · Vol. 6, Issue 2, 2020 · pp. 39–51 Read article
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Structural Behavior and Fire Resistance of Shallow Steel-Concrete Composite Decks
Abstract: This study investigates the structural behavior and fire resistance of Shallow Steel-Beam-Concrete Composite (SSCC) decks, focusing on the influence of various Steel-Concrete (SC) bonding techniques. SSCC decks combine steel beams with concrete slabs, offering structural efficiency and durability under significant loads. The effectiveness of SC bonding methods is evaluated by comparing experimental results to Full Composite Action (FCA) simulations. Fire resistance in shallow floors, particularly SlimFlor systems, is analyzed using …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 2, 2024 Read article
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Climate Change Modeling Using Machine Learning and Big Data
Abstract: Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 6–11 Read article
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Smart Meter-Based Energy Management System
Abstract: The standardization of the smart functionalities is in progress. The households for lack of knowledge and information do not care for the energy retrenchment. New central software applications have been developed that can perform remote energy management functions through communication to the distributed smart meters (specific value calculation, trend monitoring, limit violation alarm, etc.). The paper gives an overview about the existing remote energy management systems and makes recommendations which …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 3, Issue 2, 2017 · pp. 19–24 Read article
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Development of Momentum Transfer and Kinetic Model for Hydrocarbon Degradation in a Flowing Stream
Abstract: ABSTRACTA momentum transfer and kinetic model for prediction of individual hydrocarbon degradation in a flowing stream system has been developed in this study. This model was developed to monitor, predict and simulate degradation of individual hydrocarbon in most flowing streams in the Niger Delta region of Nigeria. The model was developed from first principle using plug flow reactor concept. It was simulated with MATLAB R2007b software using data of crude …
Published in International Journal of Chemical Separation Technology · Vol. 6, Issue 2, 2020 · pp. 17–34 Read article
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Seismic Vulnerability Assessment and Enhancement of Steel Moment Resisting Frame with Hybrid Damping System
Abstract: Installation of energy dissipaters enhances the energy dissipation capacity of the structure. For an earthquake response, energy dissipation capacity and an innovative approach of design of these systems, this research work recommends use of Steel moment resisting frame (SMRF) enhanced with passive energy dissipaters. Non-linear time history analysis of a ten storied steel structure is carried out, with incremental dynamic loading of seven scaled earthquake ground motion time history records. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 1, 2021 · pp. 1–10 Read article
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ANALYSIS OF MULTI-STOREY BUILDING WITH DIFFERENT OUTRIGGER SYSTEM AND LOCATIONS
Abstract: ABSTRACT- Designing and constructing high-rise buildings requires structural systems that can efficiently resist lateral forces caused by wind and seismic activity. Outrigger systems are commonly used in tall structures to increase lateral stiffness, minimize building drift, and better use structural materials. This research examines the performance of multi-storey buildings incorporating various outrigger configurations, including traditional outriggers, belt trusses, deep beams, and shear wall systems. A response spectrum analysis is carried …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 2, 2025 · pp. 1–15 Read article
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Production of Biogas from the Anaerobic Co-Digestion of Cow-Dung and Tannery By-Products
Abstract: This work was majorly focused on the production of biogas anaerobically through the co-digestion of cow-dungs and tannery waste and also to reduce the concentration of sulphide by direct inclusion of facultative lagoon sediment with sodium and calcium alginate. Various tannery fleshing to cow-dung ratio of 1:0, 1:0.5, 1:1 and 1:2 were investigated. The optimum was established to be ratio 1:2 is designated as a top methane concentration up to …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 7, Issue 2, 2021 · pp. 1–10 Read article
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A Critical Review of Harmonics and Mitigation Techniques in Power Systems
Abstract: The application of nonlinear loads in electrical power systems has increased significantly in recent years. These include variable speed drives (VSDs), uninterruptible power supplies (UPS), industrial rectifiers, welding machines, fluorescent lighting systems (Electronic ballast), computers, electronic appliances and other equipment with switched mode power supplies (SMPS) all of which have nonlinear voltage-current characteristics and produce harmonic distortions on the power system. Power system reliability and normal operation of electrical equipment …
Published in International Journal of Electrical Power System and Technology · Vol. 5, Issue 1, 2019 · pp. 1–15 Read article
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AI-Based Fraud Detection in Financial Transactions
Abstract: Financial fraud continues to pose a severe danger to individuals, businesses, and the global economy, necessitating the development of effective and innovative detection and prevention approaches. This research study examines the use of artificial intelligence (AI) techniques to detect fraudulent conduct in financial transactions. This paper investigates the advancements, challenges, and courses of AI-based fraud detection in financial transactions through a thorough examination of the research, case studies, and practical …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 1–9 Read article