Exploring web search behavior of Arab internet users

Tawileh, Wissam

doi:10.1109/innovations.2011.5893840

Cited by 3 publications

(2 citation statements)

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“…Search engines have been used to collect data 23,24 and reveal regional differences. 25,26 When searching through a search engine, many people stick to a single word or a sequential word group. Even though the searched information is the same, various searching queries may be created by people.…”

Section: Related Workmentioning

confidence: 99%

A framework for investigating search engines' stemming mechanisms: A case study on Bing

Şentürk

Gunduz

2021

Concurrency and Computation

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Big data attracts the attention of governments and a lot of companies today. The developments in technology and the Internet make it one of the important sources of big data. It is easy to get lost in the enormous amount of information contained on the Internet if there were no search engines. Knowing how the search engines work will be helpful to access the desired information. This work aims to be a guide for accessing the right information and also to help to understand search engine stemming and indexing algorithm for interested parties. In this article, we have developed a framework that could be used to investigate the stemming mechanisms of search engines. Our framework also uses Word2vec to analyze semantic relations. We have used our framework to investigate the stemming algorithm of the search engine Bing for English language.In order to achieve that we have used this framework to select words, create queries, send them to Bing, and finally analyze the millions of returned results. We have discussed the results in the context of our article. The results indicate that our framework is useful for analyzing the stemming mechanisms of search engines.

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Section: Related Workmentioning

confidence: 99%

A framework for investigating search engines' stemming mechanisms: A case study on Bing

Şentürk

Gunduz

2021

Concurrency and Computation

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“…Ayrıca kişilerin arama alışkanlıkları farklı bölgelere göre analiz edilmiştir. Örneğin, Tawileh, 2010 yılı içerisinde Google arama verileri üzerinden Arap ülkelerinin arama alışkanlıklarını incelemiştir [5]. Arama yaparken birçok kişi tek bir kelimeye ya da sıralı bir kelime grubuna bağlı kalmakta olup, aranan bilgi aynı olmasına rağmen farklı arama sorguları oluşturabilmektedir.…”

Section: Introductionunclassified

Stemming Mechanism of Search Engine Bing For Single-Plural Words

Şentürk¹,

Gunduz²

2014

Pamukkale J Eng Sci

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Language Selection and Query Formulation in Arabic UsersU+0027 English-Language Searching

Alasmari

Komlódi

iConference 2016 Proceedings

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Due to the overwhelming presence of English language sources on the Web, large numbers of non-native English speakers are forced to seek information in English to fulfill their information seeking needs. Arabic-speakers are among those who search in English as a non-native language. The objective of this work-in-progress paper is to explore the search behaviors and challenges of Arabs when searching in English. Data were collected in a diary study and focus groups. To mitigate the challenges of searching in English, our participants often turned to members of their own community to help navigate unfamiliar information spaces.

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Exploring web search behavior of Arab internet users

Cited by 3 publications

References 10 publications

A framework for investigating search engines' stemming mechanisms: A case study on Bing

A framework for investigating search engines' stemming mechanisms: A case study on Bing

Stemming Mechanism of Search Engine Bing For Single-Plural Words

Language Selection and Query Formulation in Arabic UsersU+0027 English-Language Searching

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