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The arrival of the era of big data has realized the transformation of people’s production and lifestyle. At the same time, it also increases people’s desire to consume, and the feedback behavior of consumers’ comments and ratings is the feedback of users’ experience in merchants’ products, that is, the matching of products to consumer needs and pre...
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Recommender system is widely implemented in various fields. Collaborative Filtering is one of the most used recommender system paradigms because it is easy to use. K-means clustering algorithm is widely use in Collaborative Filtering. This algorithm can predict the item rating that will be given by a user. Rating can be predicted by calculating the...
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... The investigation examines how cloud-based social media marketing affects client preferences. Big data and cloud computing affect mobile terminal customer behaviour [14]. Innovative methods and collaborative filtering algorithms were used to create consumer-oriented mobile terminal systems. ...
The study addresses the broad question of how cloud computing is reshaping data management and marketing practices. It aims to understand the transformative impact of cloud technology on social media marketing and its influence on customer behaviour and decision-making processes. Specifically, the research seeks to analyse the effectiveness of cloud-based strategies in enhancing customer perceptions and preferences. The study explores the scalability, efficiency, and global accessibility benefits of cloud computing in marketing, with the overarching goal of providing practical insights for businesses navigating the evolving digital landscape. The research sets hypotheses to investigate systematically the relationships between cloud-based social media marketing and various aspects of consumer engagement. Data is collected cross-sectionally in this quantitative study. A systematic consumer survey and secondary source analysis for cloud-based social media marketing context and trends are used. The core survey data is analysed using frequency distribution, ANOVA, and one-sample t-test to determine customer opinions and preferences for cloud-based social media marketing. The study reveals that cloud-based social media marketing significantly impacts customer buying behaviour, with the frequency of social media activity influencing its perceived effectiveness. Additionally, variations in effectiveness are observed based on demographic factors, emphasizing the need for tailored strategies in this dynamic digital landscape. The study leads to the conclusion that cloud-based social media marketing has a substantial impact on the behaviour of customers, which in turn influences their decisions to make purchases. To maximize the efficiency of marketing efforts in a digital world that is always changing, it emphasises the significance of ongoing involvement and the development of individualized tactics.
... Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: ...
... Setiap detik, 1,7 MB data dihasilkan per orang [3]. Berdasarkan International Data Group memperkirakan, jumlah data global akan meningkat secara eksponensial dari tahun 2020 hingga 2025, dengan pergerakan dari 44 menjadi 163 zettabyte [4]. Gambar 1 menunjukkan jumlah data global yang dihasilkan, disalin, dan dikonsumsi. ...
Abstrak-Big Data dan Cloud Computing sebagai dua teknologi mainstream, menjadi pusat perhatian di bidang IT. Setiap hari sejumlah besar data dihasilkan dari berbagai sumber. Data ini berukuran sangat besar sehingga alat pemrosesan tradisional tidak dapat menanganinya. Selain besar, data ini bergerak cepat dan memiliki banyak variasi. Big Data adalah konsep yang berhubungan dengan penyimpanan, pemrosesan, dan analisis data dalam jumlah besar. Komputasi awan di sisi lain adalah tentang menawarkan infrastruktur untuk memungkinkan proses tersebut dengan cara yang hemat biaya dan efisien. Banyak sektor, antara lain bisnis (kecil atau besar), kesehatan, pendidikan, dll. mencoba memanfaatkan kekuatan Big Data. Dalam perawatan kesehatan, misalnya, Big Data digunakan untuk mengurangi biaya perawatan, memprediksi wabah pandemi, mencegah penyakit, dll. Makalah ini menyajikan gambaran Big Data Analytics sebagai proses penting di banyak bidang dan sektor. Kami mulai dengan pengenalan singkat tentang konsep Big Data, jumlah data yang dihasilkan setiap hari, fitur dan karakteristik Big Data. Kami kemudian mempelajari Big Data Analytics saat kami membahas masalah seperti siklus analitik, manfaat analitik, dan perpindahan dari paradigma ETL ke ELT sebagai hasil dari analitik Big Data di Cloud. Sebagai studi kasus, kami menganalisis BigQuery Google yang merupakan gudang data tanpa server yang terkelola sepenuhnya yang memungkinkan analisis yang dapat diskalakan pada petabyte data. Sebagai Platform sebagai Layanan (PaaS) mendukung queri menggunakan ANSI SQL. Kami menggunakan alat ini untuk melakukan eksperimen yang berbeda seperti pembacaan rata-rata, penghitungan rata-rata, penulisan rata-rata, pada berbagai ukuran kumpulan data.
