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30 articles for “Content-based filtering”
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A Machine Learning Approach to Personalized Movie Recommendations Using Content-based Filtering, Web Scraping and NLP Based Sentiment Analysis
Abstract: This research work presents an improved approach for movie recommendation using content-based filtering and cosine similarity. The proposed system considers the movies' content information and genre during item similarity calculations to recommend a top 10 list of similar movies based on user preferences. Data for the movies, including title, genre, runtime, rating, and cast, is obtained from the TMDB website using an API key, while reviews are web-scraped from the …
Published in Recent Trends in Programming languages · Vol. 10, Issue 1, 2023 · pp. 19–29 Read article
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LinkedIn Connection Visualizer
Abstract: This project focuses on connection visualising with the help of a social network. The digital age has exponentially expanded professional networks, making it imperative for individuals to harness platforms like LinkedIn efficiently. Our project introduces the "Profile Resonance Recommendation Algorithm (PRRA)", a unique approach to navigatethis intricate web. PRRA refines the traditional Content-Based Filtering mechanism to provide LinkedIn users with recommendations that resonate closely with their professional profiles. By analysing …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 3, 2023 · pp. 1–9 Read article
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Adaptive and Explainable ML Framework for Personalized E-Commerce User Experience and Satisfaction
Abstract: The user experience and user satisfaction have taken the center of the stage as a determinant of platform success in the fast-changing e-commerce ecosystem. Conventional recommendation systems are usually run in black-box models that give minimal transparency and dynamicity to altered user preferences. The study will introduce a personalization framework of explainable machine learning (XML) based on explainable artificial intelligence (XAI) and hybrid recommendation strategies. The model uses Collaborative Filtering …
Published in Current Trends in Information Technology · Vol. 16, Issue 2, 2025 · pp. 23–32 Read article
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E-commerce Website for Small-scale Businesses with Neighborhood Shop and Product Recommendation System
Abstract: The fast and rising industry of e-commerce as well as m-commerce has made it easier to sell and buy things online, but it is a complicated and time-consuming procedure to do right from shipping to delivery to customers. Also, small-scale businesses would not be able to build marketing and selling infrastructure like tech e-commerce giants, gaining customers’ attention and providing services and product faster, more efficiently, and hustle-free experience with …
Published in E-Commerce for Future & Trends · Vol. 9, Issue 2, 2022 · pp. 1–6 Read article
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Impact of ML in Evolution of Recommender Systems: A Review
Abstract: Recommender systems have become indispensable tools in today's digital era, catering to the overwhelming demand for personalized recommendations in various domains such as e-commerce, content streaming, and social media. The continuous growth of data and user interactions has necessitated the integration of advanced machine learning (ML) techniques to enhance the accuracy and efficiency of these systems. This study provides a thorough analysis of current developments in machine learning methods used …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
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Entertainment Recommendation System
Abstract: For each of us, entertainment is a necessity for recharging our spirits and recharging our batteries. Also, entertainment restores our confidence in the workplace, allowing us to work more enthusiastically. Recommendation systems help you surface the things users love. Thus, we intend to make a recommender system that would be capable of recommending the users the movies, music, books, and games on their search and the popularity of the movie …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 3, 2021 · pp. 20–24 Read article
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Movie Popularity Content-based Database System Using Cloud Computing Based on Deep Learning and AI
Abstract: The digital age has brought rapid growth in both the production and consumption of movies within the entertainment industry. This surge in movie availability has created a need for effective methods to assist users in discovering films that align with their preferences. This paper introduces the concept of a “Movie Popularity Content-Based Database System,” designed to enhance the movie recommendation process by combining content-based filtering with popularity trends. In summary, …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 7–12 Read article
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An Analysis of Graph Database in Data Modelling and Analysis for a Recommendation System
Abstract: This research work focuses on graph databases, mainly Neo4j databases, in recommendation systems for e-commerce websites. The importance of research is that it explains how graph databases efficiently handle the complex relationship between user-items, which is difficult for traditional databases. Sparsity, limited diversity, and high setup costs are the challenges traditional databases face. This research work overcomes these problems using Ne04j with Cypher query language and graph algorithms (PageRank, Shortest …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 33–39 Read article
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Online Content based Approach of Network Extraction for Finding Weight, Size and Features
Abstract: In an online community, moderating the content created by users is a great challenge. Nevertheless, this paper is very costly to man-made workers. To end this, an automatic machine can arouse great interest to identify breaches of user content. Some ways to solve this problem, but word filtering or regular expression matches are most often seen in practice. The key drawbacks are their insecurity and their context-insensitive existence deliberately concealed …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 23–30 Read article
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Intelligent Document Scanner
Abstract: AbstractThere is an irresistible trend in the present world for scanning the paper documents and convert it into a digitalized format. Most of these scanning treat the whole document as an entire image. In this scenario, we propose a novel “Intelligent Document Scanner” which automatically segment and classify the contents of the image document including texts, tables and images and store it as a PDF document with three sections that …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 47–57 Read article
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A Novel Multi-Wavelet Based Image Filtering Technique for Noise Reduction in Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. Though there are several works on image denoising algorithm but they aren’t much to pay emphasis over …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 1, 2015 · pp. 12–17 Read article
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A Survey of Multiwavelet Filtering Based Denoising Techniques for Mammographic Medical Images
Abstract: The digital mammographic imagery is often influenced by various types of noises and thus requires application of various filters to denoise the noise level in order to preserve the vital imagery contents. This evidently helps the medical practitioner to improve the image quality of the mammograms and helps them in giving accurate diagnosis. We have presented a survey of the popular denoising techniques used in the literature to achieve the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 1–4 Read article
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Single-Phase Two-Stage Multi-Level Inverter Employing Low Number of Switching Devices
Abstract: In recent years, multilevel inverter (MLI) plays a significant role in low or medium voltage applications as a result of generating voltage with reduced harmonic contents. This paper proposes a new version of multi-level inverters (MLI) with reduced switching devices along with reduced harmonics content of output voltage, which results in low switching losses compared with conventional MLI topologies. In addition, the proposed inverter provides low total blocked voltage compared …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 2, 2019 · pp. 22–32 Read article
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Support of Knowledge-oriented Business Processes through Workflow Management Systems
Abstract: A major challenge in implementing business process-related knowledge management is to encourage employees to participate in knowledge processes. On the one hand, the educational work should be integrated harmoniously into the work context and, on the other hand, information must be presented and actively distributed as needed. In order to be able to introduce systematic knowledge management in companies, the design dimensions that a knowledge management project encompasses must first …
Published in E-Commerce for Future & Trends Read article
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Support of Knowledge-oriented Business Processes through Workflow Management Systems
Abstract: A major challenge in implementing business process-related knowledge management is to encourage employees to participate in knowledge processes. On the one hand, the educational work should be integrated harmoniously into the work context and, on the other hand, information must be presented and actively distributed as needed. In order to be able to introduce systematic knowledge management in companies, the design dimensions that a knowledge management project encompasses must first …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 3, 2021 · pp. 17–25 Read article
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An Eccentric Approach For Spoofing Bother Detection
Abstract: AbstractSpoofing is a special type of network bother where the bother creates a replica of an existing web page to fool users into submitting personal, financial, or password data to what they think is their service provider’s web site. This proposed work is to find a new anti-spoofing algorithm for LGA (link guard) and DSA, which is filtering the spoofing characters in the websites of the hyperlinks in spoofing bothers. …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 5–9 Read article
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Integrated Maximum Power Point Tracking and Harmonic Reduction in a Grid Interactive Solar PV Inverter
Abstract: Normal 0 false false false EN-US X-NONE X-NONE A solar photovoltaic (PV) cell exhibits a non-linear i-v characteristic and its maximum power point (MPP) varies with solar insolation and temperature. A dc-to-dc converter is generally employed along with inverter circuit to operate the solar PV system at maximum power point. This adds to the cost, which increases significantly with the size of the system. Moreover, grid-tie inverter employing thyristors has …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 1, 2014 · pp. 7–15 Read article
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A Ponder & Sedulousness Of Legion Shale Stabilizing Materials In Aqueous Based Drilling Fluid During The Process Of Borehole Strengthening
Abstract: Drilling fluid used while drilling the layers of shale will have the potential of reacting with water which tends to increase stickiness, induce swelling and promote sloughing of the borehole. This results in the reduction of drilling fluid circulation, increased mud loss, increase in torque and drag, reduction in lubricity. This will ultimately result in the increase of Non-Productive Time (NPT) during drilling which in turn increases Capital Expenditure (CAPEX) …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 35–40 Read article
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Preparation and Characterization of PVA-MgO Nanocomposite Films
Abstract: In this work, Magnesium Oxide Nanoparticles (MgO NPs) doped with 3 g of polyvinyl alcohol (PVA) at different weight percentages (0, 2, 4, 6, and 8 wt.%) using the solvent casting method, to fabricate thin PVA-MgO nanocomposite (NC) films. These films were characterized by (i) XRD, SEM, EDX, DLS, and Zeta Potential for morphological studies, (ii) FTIR spectra and UV-Visible techniques for spectroscopic studies and (iii) DSC for thermal studies. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 40–62 Read article
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Phisherman: A Phishing Email Detection Browser Extension
Abstract: Phishing attacks continue to pose significant security risks, exploiting email as a primary vector to deceive users and compromise sensitive information. To counter these threats, Phisherman presents a sophisticated, real-time phishing detection system that integrates both rule-based methods and deep learning for heightened accuracy. Built as a cross-browser extension, compatible with Chrome, Firefox, and Edge through the WebExtension API, Phisherman combines traditional verification checks, such as DNS blacklisting, SPF, DKIM, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 99–105 Read article