Search Results - (( user evaluation system algorithm ) OR ( based information systems algorithm ))
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Content-based recommender system for an academic social network / Vala Ali Rohani
Published 2014“…In this study, a new algorithm is proposed to represent an enhanced version of content-based recommender systems by utilizing social networking features. …”
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2
Movie recommendation using user-based collaborative filtering algorithm / Nur Ayuni Izlin Mat Ishor
Published 2019“…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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Recommendation System Model For Decision Making in the E-Commerce Application
Published 2024thesis::doctoral thesis -
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Adaptive method to improve web recommendation system for anonymous users
Published 2011“…The first is iPACT, an improved recommendation system based on PACT methodology to demonstrate the prediction accuracy of the proposed enhanced classification algorithm in this research. …”
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Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan
Published 2024“…The Machine Learning algorithm, comprising Random Forest, Linear Regression, XGBoost, SVM, and Stacking Ensemble, is embedded in the system for job position predictions based on the analysed data. …”
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7
Jogging activity recognition using k-NN algorithm
Published 2022“…Jogging activity recognition using the k-NN algorithm is a system that can help users collect information data of user speed movement using speed sensor and give the classification of jogging activity to the user. …”
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Academic Exercise -
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Collaborative recommender system for online jewelry store
Published 2015“…In this project, a prototype of online jewelry selling store with the implementation of a collaborative filtering based recommender system was developed. The algorithm under collaborative filtering approach that been used in this project is called slope one algorithm which basically works by predicting user’s preference based on other user’s rating history on specific items in the system. …”
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Final Year Project Report / IMRAD -
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Multi-user beamforming, fairness and device-to-device channel state information sharing in downlink non-orthogonal multiple access systems
Published 2021“…This thesis aims to provide fair resource allocation algorithms for downlink NOMA with multi-user beamforming systems in addition to provide new techniques for interference cancellation to boost the performance of this system in the case of perfect channel state information at the transmitter (perfect CSIT) and limited feedback. …”
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An indoor based push notification for location-based marketing using bluetooth smart ready technology / Nur Farehah Alias
Published 2017“…This algorithm developed to allow user to receive push notification effectively based on the location of user’s smartphone that can be detected by Bluetooth Smart Ready Technology (BLE). …”
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11
A simulation tool to evaluate the usability of agent centric Resource-Event-Agent (REA) database modeling methodology: The development of revenue cycle in accounting information sy...
Published 2023“…REA modeling technique is very important in generating a well-structured database which will be able to affect the performance of any accounting information system. The author has implemented quantitative analysis by generating mathematical algorithms to compare efficiency between conventional and Agent Centric REA Modeling. …”
Conference paper -
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Evaluation of the effectiveness of clustering algorithm in retrieving Malay documents / Aminah Mahmood
Published 2004“…A good retrieval system should provide tools to perform searching accurately based on user requirements. …”
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Chaotic-based encryption algorithm using henon and logistic maps for fingerprint template protection
Published 2020“…In a fingerprint authentication system, user fingerprint information is stored in databases in an image format known as a fingerprint template. …”
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Article -
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Effective query structuring with ranking using named entity categories for XML retrieval
Published 2016“…The systems focus on user query representation, user search intention identification and ranking algorithms to improve keyword search. …”
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15
Secure mobile AES encryptor (SMAE)
Published 2016“…This can be proved where the National Security Agency (NSA) in the United States to encrypt confidential data and information. This application will focus more on the user of the Android operating systems based mobile phone users. …”
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Undergraduates Project Papers -
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Deep reinforcement learning approaches for multi-objective problem in Recommender Systems
Published 2022“…The current major existing multi-objective recommendation approaches utilize collaborative filtering method as rating predictor to replenish the missing ratings and combined with evolutionary algorithm for only bi-objective optimization. However, collaborative filtering suffers from cold-start problem and incapable to predict rating on highly sparse user-item matrix besides difficulty to incorporate side features information such as user latent, which led to weak performance when encountering new items or users. …”
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Context-Aware Recommender System based on machine learning in tourist mobile application / Nor Liza Saad … [et al.]
Published 2022“…Furthermore, data were collected simulated based on the mobile application prototype to be used for finding the suitable machine learning algorithms in the recommendation system module. …”
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An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms
Published 2015“…Recommendation System (RS) came to lime light when the information on the internet started growing to the extent that it became time consuming to get the required information. …”
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19
Agent-based extraction algorithm for computational problem solving
Published 2015“…Four agents have been proposed as an agent based model for CPS, which are User_Agent, PAC_Agent, IPO_Agent and Algorithm_Agent. …”
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Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli
Published 2021“…Based on the previous report, some issues arise, such as time-consumption between the staff and the customer when ordering, lack of details and inconsistency of the manual system data. …”
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