Search Results - influence algorithm

Behavioural influence of TikTok’s algorithm recommendations on users’ engagement and users’ self-persuasion / Siti Khadijah Amir Hamzah, Ahlam Abdul Aziz and Shazleen Mohamed by Amir Hamzah, Siti Khadijah, Abdul Aziz, Ahlam, Mohamed, Shazleen

“…This study examines how TikTok's algorithm influences user behaviour, particularly in user engagement and self-persuasion. …”
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The influence of machine learning on the predictive performance of cross-project defect prediction: empirical analysis by Bala, Yahaya Zakariyau, Samat, Pathiah Abdul, Sharif, Khaironi Yatim, Manshor, Noridayu

“…By leveraging the rich and diverse AEEEEM dataset, this study ensures a comprehensive exploration of algorithmic influences across varied software projects. …”
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Influence maximisation towards target users on social networks for information diffusion by Temitope, Olanrewaju Abdus-Samad, Ahmad, Rahayu, Mahmuddin, Massudi

“…Influence maximisation has been an area of active research in recent years.This study aims to extend the fundamental influence maximisation problem (IMP) with respect to a set of target users on a social network.It is important to aim at the target users to speed up the rate of information diffusion and reduce the information diffusion cost.In doing so, the MITU algorithm was formulated and compared with state of the art algorithms.Publicly available datasets were used in validating the proposed algorithm.It was found that the MITU identified all target nodes while significantly lowering the information diffusion cost function (IDCF) by up to 79%.The influence overlap problem was equally identified in the heuristic algorithm where the seed set size was reduced by an average of six times.Furthermore, the random influencer selection identifies target nodes better than the betweenness and PageRank centralities.The findings could help organisations to reach target users on social media in the shortest cycle.…”
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Influence maximization towards target users on social networks for information diffusion by Temitope, Olanrewaju Abdus-Samad, Ahmad, Rahayu, Mahmuddin, Massudi

“…The influence overlap problem was equally identified in the heuristic algorithm where the seed set size was reduced by an average of six times. …”
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The influence of sentiments in digital currency prediction using hybrid sentiment-based Support Vector Machine with Whale Optimization Algorithm (SVMWOA) by Hitam, Nor Azizah, Ismail, Amelia Ritahani, Samsudin, Ruhaidah, Ameerbakhsh, Omair

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Factors influencing graphical user algorithm for mobile banking user authentication: a systematic literature review by Ugochukwu, Ejike Ekeke Kingsley, Jusoh, Yusmadi Yah

“…With the increasing number of mobile users, which currently is estimated to be about 500million users by 2015 according to a study done by the Yankee Group in 2011, the main objective of this study is to review studies on mobile banking usability factors and graphical user authentication algorithms on the suitable algorithm to be adopted for mobile banking user authentication. …”
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DISCRIMINATING SEDIMENT AND CLEAR WATER OVER CAOSTAL WATER USING GD TECHNIQUE by Mat Amin, Abd Rahman, Ahmad, Fadhli, Abdullah, Khiruddin

“…In this paper, a simple algorithm based on empirical technique to detect the sediment-influenced pixels over coastal waters is proposed as an alternative to these two algorithms. …”
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The moderating effect of algorithm literacy on Over-The-Top platform adoption by Liu, Lu, Mohd Faris De Costa, Mohd Feroz Shah De Costa, Muhammad, Muhamad Sufri, Gong, Shuhui, Liu, Bin

“…Therefore, investigating the concept of algorithm literacy and its influence on users' behavior in OTT platforms and understanding its impact becomes crucial. …”
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An Information Retrieval Algorithm to Extract Influential Factors by Nabilah Filzah, Mohd Radzuan

“…The factors extracted are known as influential factors because these factors were found to have strong influence on the stock price. The objectives of the study were to obtain a comprehensive influential factors from past literatures, develop an extraction algorithm that can identify influencial factors, and present factors that influenced companies’ stock prices. …”
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Development of indexer considering tag weighting for XML document / Masliana Wahid @ Buang by Wahid @ Buang, Masliana

“…Such indexing techniques may influence the effectiveness of retrieval itself. The extension component within the indexing structure may also influence the performance of the retrieval process. …”
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Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat by Yuliant, Sibaroni, Sri Suryani, Prasetiyowati, Iqbal Bahari, Sudrajat

“…The activation function in this neural network model then estimated using genetic algorithms. Determination of the best factor is carried out in a genetic algorithm by combining several parameters of the crossover probability (Pc) and mutation probability (Pm). …”
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Design of intelligent Qira’at identification algorithm by Kamarudin, Noraziahtulhidayu

“…The identification of threats that could influence the accuracy of voice recognition and influence decisions in recitation recognition performance of accents recognition. …”
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Performances Of Metaheuristic Algorithms In Optimizing Tool Capacity Allocations by Goheannee

“…In this research, the algorithms studied includes Genetic Algorithm, Particle Swarm Optimization Algorithm, Differential Evolution Algorithm, Harmony Search Algorithm, Teaching-LearningBased Optimization Algorithm and Black Hole Algorithm. …”
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Feature selection and model selection algorithm using incremental mixed variable ant colony optimization for support vector machine classifier by Alwan, Hiba Basim, Ku-Mahamud, Ku Ruhana

“…In order to enhance SVM performance, these problems must be solved simultaneously because error produced from the feature subset selection phase will affect the values of the SVM parameters and resulted in low classification accuracy.Most approaches related with solving SVM model selection problem will discretize the continuous value of SVM parameters which will influence its performance.Incremental Mixed Variable Ant Colony Optimization (IACOMV) has the ability to solve SVM model selection problem without discretising the continuous values and simultaneously solve the two problems.This paper presents an algorithm that integrates IACOMV and SVM.Ten datasets from UCI were used to evaluate the performance of the proposed algorithm.Results showed that the proposed algorithm can enhance the classification accuracy with small number of features.…”
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Simulation of fast recursive least square algorithm for echo cancellation system by Kamaruddin, Rosita

“…The results produced by the simulation process were analyzed in terms of convergence rate and complexity of the algorithm for echo cancellation system. It also looked how the number of taps and iteration influences the result of simulation. …”
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SRcS: Smartphone Recommendation System using genetic algorithm / Nursalsabiela Affendy Azam by Affendy Azam, Nursalsabiela

“…The technology of smartphones has greatly influenced every facet of society. This invention of the smartphone has extended the way humans entertained, improved interaction, and also influenced social progress in human communities. …”
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A partition based feature selection approach for mixed data clustering / Ashish Dutt by Ashish , Dutt

“…This dependability on data types may influence a clustering solution. Assigning appropriate weights to the feature, such that it diminishes the data type influence may improve the performance of a partition clustering algorithm. …”
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Workability review of genetic algorithm approach in networks by Nurika, O., Zakaria, N., Hassan, F., Jung, L.T.

“…However, the choice of genetic algorithm might be influenced by some concerns, such as execution time and problem size. …”
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Demand analysis of flood insurance by using logistic regression model and genetic algorithm by Sidi, P., Mamat, M.B., Sukono, ., Supian, S., Putra, A.S.

“…The analysis was done by using logistic regression model, and to estimate model parameters, it is done with genetic algorithm. The results of the analysis shows that eight variables analysed significantly influence the demand of flood insurance. …”
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Influence maximisation towards target users and minimal diffusion of information based on information needs by Temitope, Olanrewaju Abdus-Samad

“…This study proposes the Information Diffusion towards Target Users (IDTU) algorithm to enhance influencer selection while minimizing the DC. …”
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