Learning to Rank for Educational Search Engines

Usta, Arif; Altıngövde, İsmail Sengör; Ozcan, Rifat; Ulusoy, Özgür

doi:10.1109/tlt.2021.3075196

Cited by 20 publications

(8 citation statements)

References 58 publications

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“…In order to efficiently retrieve educational resources, it is used as a search engine in the field of education. Experimental results show that a general-purpose and query-dependent ranking model trained by the LTR method can generate high efficiency in educational search and lead to a better learning experience [14]. Luch et al Discovering the application of computer algorithms and intelligent recognition in distance education has become the norm.…”

Section: Related Workmentioning

confidence: 99%

Application of Exercise-Correlated Knowledge Proficiency Tracing Model based on Multiple Learning Objectives in English Teaching Curriculum Resources

Yang

Alabool²

2022

Int. J. Emerg. Technol. Learn.

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The advanced invention of information technology overcomes the limitations of traditional teaching methods. The English-oriented online teaching system not only has rich course resources, but also provides technical support for students’ personalized learning. Therefore, using big data mining techniques may help to analyze students deeply and develop personalized study plans and content. Aiming at the deficiencies of online English teaching platform in the task of knowledge level diagnosis, an Exercise-correlated Knowledge Proficiency Tracing (EKPT) model that integrates multi-objective learning factors is proposed. The learning model maps students and practice information into meaningful knowledge space through practice and knowledge-related information, and quantifies students’ knowledge learning process through forgetting curve theory and learning curve theory. The experimental test results show that the EKPT model has the best performance in knowledge ability prediction and learning performance prediction. The mean absolute error (MAE) values of the EKPT model in the English1 dataset, English2 dataset, written auxiliary dataset and adaptive dataset are 0.32, 0.25, 0.39 and 0.34, respectively, with the smallest error. Therefore, the proposed EKPT model meets the requirements of English online learning. The research content has important reference value for the construction of online English teaching platform.

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Section: Related Workmentioning

confidence: 99%

Application of Exercise-Correlated Knowledge Proficiency Tracing Model based on Multiple Learning Objectives in English Teaching Curriculum Resources

Yang

Alabool²

2022

Int. J. Emerg. Technol. Learn.

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“…In this, we find out features of web pages and the importance of these features in the ranking system [11]…”

Section: Features Of Web Page and Importance Of These Features In A Ranking Systemmentioning

confidence: 99%

“…One can fetch content-based information from web documents using the hybrid approach [10]. The traffic of search engines is affected [11] by the following factors: Size of the web, loading speed (Page Redirect condition, Size of code) [12], Web security condition, SEO Crawling Factor (Title, heading, Meta Description of web page, Content, URL), User behaviour [8][13]. [14] presents a web page rank mechanism that is query dependent.…”

Section: Introductionmentioning

confidence: 99%

Web Page Ranking using Web Mining Techniques: A comprehensive survey

Sharma¹,

Yadav²

2021

Preprint

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<div>Purpose: Due to the exponential growth of internet users and internet traffic, information seekers are highly dependent upon search engines to extract relevant information. Due to the accessibility of a large amount of textual, audio, video etc. contents, the responsibility of search engines has increased.</div><div>Design/methodology/approach: The search engine provides relevant information to internet users concerning to their query; based on content, link structure etc. However, it does not provide the guarantee of the correctness of the information. The performance of a search engine is highly dependent upon the ranking module. The performance of the ranking module is dependent upon the link structure of web pages, which analyse through Web structure mining (WSM) and their content, which analyses through Web content mining (WCM). Web mining plays an important role in computing the rank of web pages.</div><div>Findings: In this article, web mining types, techniques, tools, algorithms and their challenges are presented. Further, it provides a critical comprehensive survey for the researchers by presenting different features of web pages, which are important to check the quality of web pages.</div><div>Originality: In this work, authors presented different approaches/techniques, algorithms and evaluation approaches in previous researches and identified some critical issues in page ranking & web mining, which provide future directions for the researchers, working in the area.</div>

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“…Ranking. Milton et al [38] and Usta et al [47] propose new ranking algorithms to prioritize retrieved results that are relevant to educational contexts. Both rankers depend upon a user's age, which is mapped to a respective school grade and then used to identify online resources that align with the educational curriculum outlined for a said grade.…”

Section: "We Got To Get This Wagon Train A-movin'!": Gapsmentioning

confidence: 99%

To Infinity and Beyond! Accessibility is the Future for Kids' Search Engines

Milton,

Allen,

Pera

2021

Preprint

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Research in the area of search engines for children remains in its infancy. Seminal works have studied how children use mainstream search engines, as well as how to design and evaluate custom search engines explicitly for children. These works, however, tend to take a one-size-fits-all view, treating children as a unit. Nevertheless, even at the same age, children are known to possess and exhibit different capabilities. These differences affect how children access and use search engines. To better serve children, in this vision paper, we spotlight accessibility and discuss why current research on children and search engines does not, but should, focus on this significant matter. CCS Concepts: • Social and professional topics → Children; • Human-centered computing → Accessibility; • Information systems → Web searching and information discovery.

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Learning to Rank for Educational Search Engines

Cited by 20 publications

References 58 publications

Application of Exercise-Correlated Knowledge Proficiency Tracing Model based on Multiple Learning Objectives in English Teaching Curriculum Resources

Application of Exercise-Correlated Knowledge Proficiency Tracing Model based on Multiple Learning Objectives in English Teaching Curriculum Resources

Web Page Ranking using Web Mining Techniques: A comprehensive survey

To Infinity and Beyond! Accessibility is the Future for Kids' Search Engines

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