Scholarly publication venue recommender systems

Dehdarirad, Hossein; Ghazimirsaeid, Javad; Jalalimanesh, Ammar

doi:10.1108/dta-08-2019-0135

Cited by 8 publications

(3 citation statements)

References 34 publications

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“…The PRISMA model was adopted for conducting the systematic review. The PRISMA model presents a workflow for conducting systematic reviews, it consists of steps as, 'Identification, Screening, Eligibility and Included ' Dehdarirad et al (2020). Initial searches were conducted in the Scopus, Google Scholar, and Emerald Insights databases before the identification step using the simple search on 'Service quality AND library', which helped the authors choose the right search phrases.…”

Section: Methodsmentioning

confidence: 99%

A systematic review of library service quality studies: Models, dimensions, research populations and methods

Mamta

Kumar

2023

Journal of Librarianship and Information Science

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The study systematically reviews the studies based on a search of published articles from 2010 to 2021 on library service quality with the aim of determining which models of service quality are the most commonly used by librarians as a means of measuring service quality. In addition, the paper makes an effort to determine the variety of dimensions by which these qualitative evaluations were carried out, the types of libraries that have reported such qualitative studies, and the data collection strategies (research population, sample size and data collection instruments) adopted by the authors. The findings indicate that the SERVQUAL and LibQual models are the most frequently adopted models. The empathy, reliability, tangible, assurance, responsiveness, effect of library, information control and library as place are the prominent dimensions. The researchers rely heavily on questionnaire-based survey research methods with sample sizes of less than 100 respondents, mostly reported in academic libraries.

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Section: Methodsmentioning

confidence: 99%

A systematic review of library service quality studies: Models, dimensions, research populations and methods

Mamta

Kumar

2023

Journal of Librarianship and Information Science

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“…However, as the number of neighboring customers increases, the computational cost increases. Previous studies have utilized K-nearest neighbor (KNN) algorithms or clustering techniques to classify groups having similar preferences to address such issues (Park et al, 2012;Acilar and Arslan, 2009;Dehdarirad et al, 2020). Furthermore, the CF algorithm can be divided into user-based CF and item-based CF according to whether the group is classified based on the item purchased by the customer or based on the customer who purchased the item (Herlocker et al, 2004;Bobadilla et al, 2013;Kim et al, 2009Kim et al, , 2012.…”

Section: Related Workmentioning

confidence: 99%

Impact on recommendation performance of online review helpfulness and consistency

Park

et al. 2022

DTA

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PurposeThe existing collaborative filtering algorithm may select an insufficiently representative customer as the neighbor of a target customer, which means that the performance in providing recommendations is not sufficiently accurate. This study aims to investigate the impact on recommendation performance of selecting influential and representative customers.Design/methodology/approachSome studies have shown that review helpfulness and consistency significantly affect purchase decision-making. Thus, this study focuses on customers who have written helpful and consistent reviews to select influential and representative neighbors. To achieve the purpose of this study, the authors apply a text-mining approach to analyze review helpfulness and consistency. In addition, they evaluate the performance of the proposed methodology using several real-world Amazon review data sets for experimental utility and reliability.FindingsThis study is the first to propose a methodology to investigate the effect of review consistency and helpfulness on recommendation performance. The experimental results confirmed that the recommendation performance was excellent when a neighbor was selected who wrote consistent or helpful reviews more than when neighbors were selected for all customers.Originality/valueThis study investigates the effect of review consistency and helpfulness on recommendation performance. Online review can enhance recommendation performance because it reflects the purchasing behavior of customers who consider reviews when purchasing items. The experimental results indicate that review helpfulness and consistency can enhance the performance of personalized recommendation services, increase customer satisfaction and increase confidence in a company.

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“…A Systematic Literature Review (SLR) is a method that employs a precise, transparent, and explicit approach, encompassing several phases [8]. This approach is designed to ensure that the literature process maintains a high level of rigor and transparency [9]. In addition, conducting a Systematic Literature Review enhances the credibility and reliability of the research for it transparency and also provide an insight of the findings in the context of the research objectives.…”

Section: Introductionmentioning

confidence: 99%

A Systematic Literature Review of an Advisory System

Taib,

Zainuddin,

Mokhtar

et al. 2024

IJCDS

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The growth of Artificial Intelligence (AI) driven technologies has been proposed as a means to improve the standard of people's lives. The advent of the advisory system has manifested itself as a significant element in Artificial Intelligence, effectively helping people in various fields. This research presents a systematic literature review of an advisory system. This research initially presents 472 articles by examining the literature between 2015 and 2023. After a meticulous review process, the studies were filtered down to 67 articles for full analysis. This review provides significant contributions to the exploration of advisory systems, specifically in the existing framework of advisory systems, the techniques applied in advisory systems, the domain in which the Artificial Intelligence technique is being applied in the advisory system, and the validation technique used in validating the advisory system. Ultimately, this review contributes to a deeper understanding of an advisory system's role in Artificial Intelligence and in various domains for optimising an advisory system application.

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Scholarly publication venue recommender systems

Cited by 8 publications

References 34 publications

A systematic review of library service quality studies: Models, dimensions, research populations and methods

A systematic review of library service quality studies: Models, dimensions, research populations and methods

Impact on recommendation performance of online review helpfulness and consistency

A Systematic Literature Review of an Advisory System

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