Search engine optimization: Examination of ranking factors across different platforms
Başlık çevirisi mevcut değil.
- Tez No: 707411
- Danışmanlar: DR. JÜRİ MAJAK
- Tez Türü: Yüksek Lisans
- Konular: Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol, Bilim ve Teknoloji, Computer Engineering and Computer Science and Control, Science and Technology
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2018
- Dil: İngilizce
- Üniversite: Tallinn University of Technology
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: 71
Özet
Özet yok.
Özet (Çeviri)
In this research, necessary background information on search engines and Search Engine Optimization (SEO) were provided. Search engine ranking factors suggested by patents, publications and SEO professionals have been investigated in detail. Ranking factors which were found to be directly or indirectly valid have been included. Following this, in-depth explanation of main SEO processes (content creation, keyword research, link building) and ranking factors (page related, site related, searcher behaviour related, backink related) were conducted. Based on theoretical and practical facts presented, widely used SEO techniques (white hat, black hat, gray hat) were criticized. During explanations and discussions, measurable real-world examples were provided. Following the information provided on SEO, various applications of it were discussed. These topics included App Store Optimization (ASO) and Youtube SEO (Video SEO). In ASO section, specific concepts and nuances between SEO and ASO processes have been pointed. Later on, a real-world example (optimization of the Android application“Kartvizit”) was explained in great detail and responding results were presented. On Youtube SEO section, the concept was introduced and analysis of Video SEO ranking factors were conducted with supporting examples. In both subfields, intersections with web search engines were pointed out and these were perceived as opportunities to generate additional organic traffic. As the product of this research: • Effective SEO, ASO and Video SEO ranking factors have been pointed out. • Evidence was provided on these factors' contribution to rankings across different platforms. Having produced a detailed scientific examination of SEO and its subfields, the product of this research may be used in creation of beneficial tools for each subfield. If models which are capable of evaluating inputted data versus real-world standings of competitors according to ranking factors discussed, a meaningful output projecting predicted rankings maybe achieved. To accomplish this future task, larger datasets need to be evaluated by cooperating with SEO and ASO tool providers.
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