Feature Selection using Machine Learning Techniques Based on Search Engine Parameters

Portier, Willy K.; Li, Yujian; Kouassi, Bonzou A.

doi:10.1145/3432291.3432308

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…Contrary to our expectations, we did not get significant results for Hypothesis 5. According to Portier et al (2020), a webpage with a high volume of content has higher chances to appear in the top 10 search engines results pages. Similarly, Zhou et al (2018) also stated that funding success increases with every 1% increase in the length of the project, while Xiao et al (2018) confirmed that the length of the project description has a favorable and significant impact on the reward tier selection of backers.…”

Section: Discussionmentioning

confidence: 99%

“…The average page load time of an additional project website was 1,192 milliseconds. The number of <H1> tags on the additional website and the number of words in the <body> section of homepages were on average 1.409 and 520 words, which means that additional websites were structured following SEO requirements (Drivas et al, 2021;Portier et al, 2020). Finally, as suggested by the average mobile score <50, the analyzed additional website performance on mobile devices was generally poor.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

“…First, there are criteria related to the website content, such as the number of words that could have an impact on the position of the additional website on search engines. Previous research revealed that long webpages with a high volume of content have a better chance of being ranked in the top 10 search engine results (Portier et al, 2020). Another important parameter that has an influence on success of a crowdfunding campaign is the word count in the project's description (Xiao & Yue, 2018;Zhou et al, 2018).…”

Section: The Role Of An Additional Websitementioning

confidence: 99%

See 2 more Smart Citations

Enhancing Efficiency of Crowdfunding Campaign Financing

Sagot,

Ben Arfa

2023

International Journal of Strategic Decision Sciences

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This study aims to investigate the impact of off-page communication factors on success of crowdfunding campaigns. While previous research mainly focused on on-page communication factors, relevant research on the impact of off-page communication factors related to additional website visibility and external social media remains scarce. To address this gap, the authors examine the impact of search engine optimization (SEO) actions taken on an additional website and explore influence of the use of external social media on rewards-based crowdfunding success, as it is argued to be the dominant online model. They perform a cross-sectional study of a randomized sample of 1,791 campaigns on KissKissBankBank, the major crowdfunding platform in Europe. The results reveal that (1) SEO actions taken on the additional website enhance success of the crowdfunding campaign, and (2) there are important connections between the use of external social media and success of crowdfunding campaigns. Taken together, these results contribute to adequate decision making among project initiators, backers, and platforms owners.

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Section: Discussionmentioning

confidence: 99%

Section: Descriptive Statisticsmentioning

confidence: 99%

Section: The Role Of An Additional Websitementioning

confidence: 99%

See 1 more Smart Citation

Enhancing Efficiency of Crowdfunding Campaign Financing

Sagot,

Ben Arfa

2023

International Journal of Strategic Decision Sciences

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Effects of using multi-category web pages on rank estimation of Google search engine results page

Almadhoun,

Malim

2024

WEB

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It is essential to use search engines to get the needed information. A search engine uses result matching to match the user’s query with appropriate web pages. Users see the search results in a certain order based on how they are ranked. A website or web page may be made better using search engine optimization (SEO), which will increase the amount of organic traffic it receives from search engines. If we can’t manage efficient SEO techniques to rank at the top of organic search results, a lot of money will be spent on sponsored adverts for certain keywords. The process of building rank estimate algorithms for search engine results pages (SERP) or applying data analysis to find the best SEO tactics has been employed in several research projects. The datasets of existing studies were undiversified since they only included web pages from one or a small number of categories. This research will improve rank estimation algorithms by using multi-category web pages in the training datasets and will provide demonstrations of improvement on SERP rank estimation algorithms for English web pages. Since Google receives more than 90% of all internet search submissions, scraping will be used there. For the chosen web pages, a collection of on-page SEO variables will be retrieved. The methodology starts with choosing a set of search terms and scraping search engines, then crawling SERP web pages to extract certain SEO criteria from the contents of web pages, and lastly getting to data preprocessing. Various machine learning techniques were used to compare performance and choose the optimal approach. The main finding of research is the enhancement of SERP rank estimation by more than 25% on performance with the proposed dataset improvements for building models.

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Feature Selection using Machine Learning Techniques Based on Search Engine Parameters

Cited by 2 publications

References 7 publications

Enhancing Efficiency of Crowdfunding Campaign Financing

Enhancing Efficiency of Crowdfunding Campaign Financing

Effects of using multi-category web pages on rank estimation of Google search engine results page

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