THE ANALYSIS OF CURRENT METHODS OF INFORMATION SEARCH

Abstract

Purpose. To analyze current methods of information search. In modern conditions of development of information technologies Internet and the search engine there is a need for new methods to ensure effective information search. The search engine develops in different directions: new ranking factors appear or their priority changes, requirements to the quality of sites and their referral links increase (new anti-spam algorithms appear), changed the format of the interaction of the search with the user, there are new services that make searching easier. Methodology. In this paper modern methods of information search were investigated, the published ranking factors of Google published in 2017 were analyzed, and the prospect of using the vector space model (VSM) was considered. Results. The analysis of published in 2017 ranking factors Google can come to the following conclusions: 1. It is necessary to increase attention to relevant, quality content («Relevant, holistic content is more important than ever») and the influence of behavioral factors; 2. Reduces the impact of keywords. («Keywords are becoming increasingly obsolete»); 3. Mobile Friendly: establishment of a working mobile version of the site – a mandatory step in promoting resource. Starting with 21 th April 2015 Google ranked above sites adapted to mobile devices; 4. The role of social networks is growing - if there are referrals from social networks, then the site will have a greater ranking in search engine results page («Social signals – a bonus for positive rankings»). Accordingly, the use of vector space model (VSM) will be perspective in terms of generality and depth in terms of linguistic analysis of texts.Web pages must be evaluated for the finding purpose of duplication of information and its novelty. To find duplicates, the best method is the method of exclusiveness (singles) – «single method». From the point of view of increasing the reliability of the assessment of relevance of the document to the request, it will be expedient to use the improved SeoRank method. Originality. For the first time, it was analyzed the factors of Google ranking from the standpoint of the search engine and not the SEO Optimizer; based on the requirements of the present, the most important aspects are outlined. Within the framework of the analysis, the most adapted methods are identified that are acceptable for improving the search engine. Practical value. The results obtained during this study can be used for further analysis and improvement of methods and algorithms of information search. References 13.

Authors and Affiliations

V. Tereschenko

Keywords

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  • EP ID EP659899
  • DOI 10.30929/1995-0519.2018.3.26-31
  • Views 75
  • Downloads 0

How To Cite

V. Tereschenko (2018). THE ANALYSIS OF CURRENT METHODS OF INFORMATION SEARCH. Вісник Кременчуцького національного університету імені Михайла Остроградського, 1(110), 26-31. https://europub.co.uk/articles/-A-659899