The effects of internet proliferation on search engine and over-the-top service markets

Kwak, Kyu Tae; Lee, Seung Yeop; Ham, Minjeong; Lee, Sang Woo

doi:10.1016/j.telpol.2021.102146

Cited by 9 publications

(3 citation statements)

References 63 publications

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“…Melalui sosial media bisa menjadi jembatan untuk bertukar ide, pengetahuan, bahkan komunikasi antar pengguna (Nagpal & Petersen, 2021). Kemunculan media sosial menciptakan pengakuan yang berkembang tentang pergeseran push marketing ke model percakapan yang mengarah pada keputusan pembelian pelanggan 17 berdasarkan konten dari ulasan blog, pemberian tag, komentar akun dan lainnya (Kwak, Lee, Ham, & Lee, 2021;Nekmahmud, Naz, Ramkissoon, & Fekete-Farkas, 2022).…”

Section: Sosial Media Marketingunclassified

Sistem Pemasaran Digital Estimasi Harga Furniture

Wijoyo

2022

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Estimasi biaya merupakan faktor terpenting dalam menentukan harga jual suatu barang terlebih dalam menentukan proyek dalam sekala besar. Estimasi biaya tidak hanya berfungsi untuk mengetahui seberapa besar biaya yang diperlukan tetapi berfungsi untuk merencanakan dan mengendalikan sumber daya yang digunakan , dimana sumber daya berupa material, alat dan tenaga kerja pada jenis pekerjaan yang berbeda anatara pekerjaan satu dengan pekerjaan yang lainnya. Sehingga ada banyak data dan informasi yang dikumpulkan untuk keperluan estimasi biaya. Menggunakan sistem yang berjalan saat ini untuk menghitung estimasi harga furniture belum begitu efisien karna belum adanya sistem estimasi harga furniture yang terkomputerisasi, sehingga membutuhkan waktu yang lama. Untuk mengatasi masalah yang ada diperlukan sebuah aplikasi estimasi harga yang terkomputerisasi yang dapat menghasilkan nominal harga secara tepat dan cepat sesuai dengan sistem yang berjalan. Berdasarkan analisa sistem yang berjalan penulis mencoba merancang sistem aplikasi estimasi harga berbasis desktop menggunakan Java MySQL yang relatif mudah digunakan , sehingga proses estimasi dan pemesanan tidak terlalu memerlukan waktu lama.

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Section: Sosial Media Marketingunclassified

Sistem Pemasaran Digital Estimasi Harga Furniture

Wijoyo

2022

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“…Media competition research can be broadly categorised into media substitution research and media competition research based on niche theory, which actively explores whether new media and existing media are substitutes or complements when new media emerge 3 . Among other things, niche theory is applied to a series of studies on competition between media, especially user satisfaction as a resource, and niche theory is used to compare competition between media 4 . In a competitive market, it is important to capture the actual needs of users as they choose media by comparing services with similar features 5 .…”

Section: Introductionmentioning

confidence: 99%

Replacement or complement: A niche analysis of Weibo, Xiaohongshu, and TikTok

YANG

2024

Preprint

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Using Dimmick niche theory as a theoretical framework, this study investigated the competition among three social media, Weibo, Xiaohongshu and Tiktok, using the satisfaction and satisfaction opportunities obtained among them. In this study, an online questionnaire survey was conducted nationwide and 565 valid questionnaires were collected. This study drew three conclusions from the data analysis. (1) This study found that Xiaohongshu and Tiktok belong to generalist, while Weibo belongs to specialist. (2) Among them, Weibo and Tiktok have the most intense competition, but the three social media have different competitive advantages. Therefore, this study predicts that these three social media can coexist in the Chinese social media market. (3) Among the three media, Tiktok is the most competitive, Xiaohongshu is the second most competitive, and Weibo is the weakest.

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“…A practice used to find vulnerabilities in web pages is Google Hacking (GH). GH works like a google search that uses a search string, called Dork, which are sets of characters used to perform a specific search on Google (1) . Some authors, like (2) address types of information that can be found with GH.…”

Section: Introductionmentioning

confidence: 99%

Google Hacking Database Attributes Enrichment and Conversion to Enable the Application of Machine Learning Techniques

Evangelista,

Sassi,

Romero

2023

IJST

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Objectives: Apply Natural Language Processing (NLP) to enrich Google Hacking Database (GHDB) with attributes and convert its textual values to ASCII, to enable the application of Machine Learning techniques to group Dorks by similarity and find vulnerabilities. Methods: The computational experiments were conducted in seven steps: Selection of the GHDB, Removal of Hyperlinks and Deletion of Attributes, Removal of the Site Parameter from Dorks, Removal of Outliers and Stopwords, Enrichment with NLP, Base Transformation, and Application of the Self-Organizing Maps (SOM). Findings: The application of NLP allowed segmenting of the Dorks by characters. After that, we converted the characters to their numeric values in ASCII. So, we enrich the GHDB and enable the application of ML techniques, in this case, the SOM. The results obtained with the application of the SOM were considered good. The topographic error (TE) and quantization error (QE) values of the maps generated by SOM were close to 0, which means good accuracy and the maps represent the input data well. Novelty: The formation of clusters of Dorks with SOM after enriching the GHDB with NLP.

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The effects of internet proliferation on search engine and over-the-top service markets

Cited by 9 publications

References 63 publications

Sistem Pemasaran Digital Estimasi Harga Furniture

Sistem Pemasaran Digital Estimasi Harga Furniture

Replacement or complement: A niche analysis of Weibo, Xiaohongshu, and TikTok

Google Hacking Database Attributes Enrichment and Conversion to Enable the Application of Machine Learning Techniques

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