Using Levenshtein Distance for Typical User Actions and Search Engine Switching Detection

2016 ◽  
pp. 158-168
Author(s):  
Alexey Raskin ◽  
Petr Rudakov
Keyword(s):  
Search Engine ◽  
Levenshtein Distance ◽  
User Actions ◽  
Typical User

scholarly journals Autocomplete and Spell Checking Levenshtein Distance Algorithm To Getting Text Suggest Error Data Searching In Library

2018 ◽  
Vol 5 (1) ◽  
pp. 75
Author(s):  
Muhamad Maulana Yulianto ◽  
Riza Arifudin ◽  
Alamsyah Alamsyah
Keyword(s):  
Computer Program ◽  
Search Engine ◽  
Search Engines ◽  
Internet Technology ◽  
The Internet ◽  
Levenshtein Distance ◽  
Input Process ◽  
Data Search ◽  
Source Case

Nowadays internet technology provide more convenience for searching information on a daily. Users are allowed to find and publish their resources on the internet using search engine. Search engine is a computer program designed to facilitate a user to find the information or data that they need. Search engines generally find the data based on keywords they entered, therefore a lot of case when the user can’t find the data that they need because there are an error while entering a keyword. Thats why a search engine with the ability to detect the entered words is required so the error can be avoided while we search the data. The feature that used to provide the text suggestion is autocomplete and spell checking using Levenshtein distance algorithm. The purpose of this research is to apply the autocomplete feature and spell checking with Levenshtein distance algorithm to get text suggestion in an error data searching in library and determine the level of accuracy on data search trials. This research using 1155 data obtained from UNNES Library. The variables are the input process and the classification of books. The accuracy of Levenshtein algorithm is 86% based on 1055 source case and 100 target case.

scholarly journals Perencanaan Search Engine E-commerce dengan Metode Latent Semantic Indexing Berbasis Multiplatform

2017 ◽  
pp. 31
Author(s):  
Ni Made Ari Lestari ◽  
Made Sudarma
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Word Processing ◽  
Latent Semantic Indexing ◽  
Electronic Data Interchange ◽  
Levenshtein Distance ◽  
Electronic Systems ◽  
Semantic Indexing ◽  
Automated Data Collection ◽  
Data Interchange

E-commerce is a sale and purchase transactions that occur through electronic systems such as the Internet, WWW, or other computer networks. E-commerce involves electronic data interchange and automated data collection systems. In all e-commerce search engine provided a column for the search items desired by the user. In e-commerce such as Tokopedia, Lazada, MatahariMall, Amazon, and other search engines that provided just use a regular search engine technology. In the usual search engines getting longer sentences from the input or output of goods search results will be more extensive and more. However, by utilizing the semantic indexing technology, the longer and clear input desired goods, the number of searches will be few and accurately in accordance with the input that helps the user in decision making. In this study discussed how to build a search engine on the web e-commerce by using Latent Semantic Indexing. The first starts from the use of Text Mining methods for word processing, and the method Levenshtein Distance to repair automatic word and the last Latent Semantic Indexing for information processing and input expenditure.

Who owns a personal home page?

2003 ◽  
Vol 62 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Astrid Schütz ◽  
Franz Machilek
Keyword(s):  
Search Engine ◽  
Home Page ◽  
Sampling Strategies ◽  
Home Pages ◽  
Personal Home Pages ◽  
Age And Sex

Research on personal home pages is still rare. Many studies to date are exploratory, and the problem of drawing a sample that reflects the variety of existing home pages has not yet been solved. The present paper discusses sampling strategies and suggests a strategy based on the results retrieved by a search engine. This approach is used to draw a sample of 229 personal home pages that portray private identities. Findings on age and sex of the owners and elements characterizing the sites are reported.

Science search engine links papers to grants and patents

Nature ◽  
2018 ◽  
Author(s):  
Richard Van Noorden
Keyword(s):  
Search Engine

Penerapan Strategi Social Media Marketing Untuk Meningkatkan Penjualan Pada Dealer Mobil Toyota, Daihatsu dan Honda Bandung

Infoman s ◽  
2018 ◽  
Vol 12 (2) ◽  
pp. 115-124
Author(s):  
Yopi Hidayatul Akbar ◽  
Muhammad Agreindra Helmiawan
Keyword(s):  
Social Media ◽  
Search Engine ◽  
Social Media Marketing ◽  
Public Attention ◽  
Media Companies ◽  
Social Media Networks ◽  
Internet Users ◽  
Marketing Activities ◽  
The University ◽  
Website Content

Social media is one of the information media that is currently widely used by several companies and personally to convey information, with the presence of social media companies no longer need to spread offers through print media, they can use information technology tools in this case social media to submit offers the products they sell to users globally through social media. This social media marketing technique is the process of reaching visits by internet users to certain sites or public attention through social media sites. Marketing activities using social media are usually centered on the efforts of a company to create content that attracts attention, thus encouraging readers to share the content through their social media networks. The application of the QMS method is certainly not only submitted through search engine webmasters, but also on a website keywords must be applied that relate to the contents of the website content, because with the keyword it will automatically attract visitors to the university website based on keyword phrases that they type in the search engine. With Search Media Marketing Technique (SMM) is one of the techniques that must be applied in conducting sales promotions, especially in car dealers in Bandung, it is considered important because each product requires price, feature and convenience socialization through social media so that sales traffic can increase. Each dealer should be able to apply the techniques of Social Media Marketing (SMM) well so that car sales can reach the expected target and provide profits for sales as car sellers in the field.

Search Engine Marketing - Entwicklungsperspektiven für das Marketingcontrolling

Controlling ◽  
2011 ◽  
Vol 23 (12) ◽  
pp. 650-656
Author(s):  
Vera Roggenbuck ◽  
Hendrik Finger ◽  
Anja Kolburg
Keyword(s):  
Search Engine ◽  
Search Engine Marketing

Five Steps in Selecting a Search Engine

2008 ◽  
Author(s):  
Susan Aldrich
Keyword(s):  
Search Engine
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