Search Results - (( exploring consumer user algorithm ) OR ( java implication based algorithm ))

Movie recommendation using user-based collaborative filtering algorithm / Nur Ayuni Izlin Mat Ishor by Mat Ishor, Nur Ayuni Izlin

“…Thus, the study is to explore how the recommendation engines will work and use user-based collaborative filtering as an algorithm for the movie recommendation. …”
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Dijkstra’s algorithm in Product Searching System (ProSearch) / Nur Hasni Nasrudin ... [et al.] by Nasrudin, Nur Hasni, Nasaruddin, Siti Hajar, Syed Abdul Halim, Syarifah Syafiqah Wafa, Ahmad Junid, Rosida

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Recommendation System Model For Decision Making in the E-Commerce Application by Mohammed Mahmudur Rahman

Intent-IQ: customer’s reviews intent recognition using random forest algorithm by Mazlan, Nur Farahnisrin, Ibrahim Teo, Noor Hasimah

“…The future recommendation for this project is to build a classification model for Malay reviews and explore other algorithms which could gain better accuracy by capturing more contextual meanings in the reviews such as BERT.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Early explorations of EEG as a method for interactive evolutionary design of 3-dimensional objects by Chew, Lin Hou, James Mountstephens, Teo, Jason Tze Wi

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A clustering technique using single pass clustering algorithm for search engine by Indra, Z., Zamin, N., Jaafar, J.

“…Internet users rely heavily on search engine to explore and find useful information buried in the websites. …”
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Using Machine Learning to Optimize Green Influencer Marketing Strategies: A Study of Consumer Behavior Trends by Neetu, Sharma

“…In the backdrop of increasing sustainability awareness among Indian consumers, this study explores the role of machine learning (ML) in optimizing green influencer marketing strategies to drive eco-conscious purchasing. …”
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Predicting motorcycle customization preferences using machine learning by Saputra, Ananta, Utoro, Rio Korio, Roedavan, Rickman, Soegiarto, Duddy, Moorthy, Kohbalan, Pratondo, Agus

“…These findings highlight the complexity of consumer behavior in the automotive sector and suggest that machine learning can offer valuable insights for stakeholders seeking to tailor services and strategies based on user preferences.…”
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Cloudids: Cloud Intrusion Detection Model Inspired By Dendritic Cell Mechanism by Azuan Ahmad, Norbik Bashah Idris, Mohd Nazri Kama

“…Each user's IDS will not be the same in term of type and configurations and each user may have outdated signatures. …”

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

A deep learning approach for facial detection in targeted billboard advertising / Lau Sian En by Lau , Sian En

“…The system’s capacity to provide targeted advertising not only enhances user experience but also greatly enhances consumer engagement. …”
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TDMA scheduling analysis of energy consumption for iot wireless sensor network by Islam, Md Ashikul

“…The algorithm use time division multiplexing algorithm together with hello message to allocate the neighbors and their energy level to find the best way to communicate and reduce packet drop, less signal interference and increase throughput. …”
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Generation of the batik Terengganu motifs using Bezier curve and Dejdumrong curve / Nuralea Natasya Amir Hamdan, Nur Fatin Natasya Ramdzan and Nurul Ain Nabila Mohamad Latif by Amir Hamdan, Nuralea Natasya, Ramdzan, Nur Fatin Natasya, Mohamad Latif, Nurul Ain Nabila

“…However, this manual process is time-consuming and limits the exploration of complex designs. …”
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Predicting energy consumption pattern based on top trending videos YouTube 2021 using machine learning techniques by Ng, Jiun Shen

“…It is important to be aware of how much energy has been consumed while an individual is streaming or watching a video on YouTube on a mobile device. …”
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Quarantine order violators system using Face Recognition (FACID) / Yamunnawahthi Somasundharam, Suraya Abu Bakar and Syifak Izhar Hisham by Yamunnawahthi, Somasundharam, Abu Bakar, Suraya, Izhar Hisham, Syifak

“…The system will employ the Histograms of Oriented Gradients (HOG) algorithm for face detection. Additionally, the system will utilize the Face Landmark Algorithm to compare the 128-d vector with images stored locally. …”
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Multi-modality ontology semantic image retrieval with user interaction model / Mohd Suffian Sulaiman by Sulaiman, Mohd Suffian

“…To realise this approach, the semantic image retrieval prototype is developed based on the existing foundation algorithm and customised to provide the ability for user engagement in order to enhance the retrieval performance. …”
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Evaluating network performance in a web-based augmented reality system for lipmatte color recommendation / Zulfikri Paidi ... [et al.] by Paidi, Zulfikri, Md Abd Wahid, Nurhanna, Muhd Zain, Nurzaid, Othman, Mahfudzah

“…This research highlights the significant potential of AR technology in modernizing the beauty shopping experience while illustrating the critical role of network performance in achieving optimal user satisfaction. Future investigations should explore advanced dynamic resource allocation algorithms and emerging technologies, such as 5G connectivity and edge computing, to further enhance real-time AR applications and better understand user interactions with AR in retail settings.…”
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The impact of Xiaohongshu as the primary information hub: a case study among utar undergraduates by Eu, Jin Hau

“…While students appreciate the platform's speed, convenience, and emotional appeal, they remain concerned about the lack of professional verification, hidden advertising, and algorithmic repetition. Some users have taken on more critical behaviours, such as fact-checking and assessing creator credibility. …”
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Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data by Abdullah, Mohd Hafizul Afifi

“…Upon exploration of the architecture, the weighted k-nearest neighbours algorithm used for the classification module is found to be prone to misclassification as it relies solely on the majority voting rule to determine the class for new data vector. …”
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