scholarly journals Product Recommendation System: A Systematic Literature Review

2021 ◽  
Vol 9 (VII) ◽  
pp. 3330-3339
Author(s):  
Ketki Kinkar
Keyword(s):  
Literature Review ◽  
Performance Measures ◽  
Systematic Literature Review ◽  
Recommender System ◽  
Recommendation System ◽  
Consumer Preferences ◽  
Research Work ◽  
Product Recommendation ◽  
System A ◽  
Scientific Papers

In today's world, we find a wide variety of search options and we may have difficulty selecting what we really need. The recommendation System plays an important part in dealing with these problems. A recommender system is a framework that is a filtering system that filters the data with various algorithms and recommends the user with the most relevant data. Recommendation systems are productive customization mechanisms, often up-to-date and recommendations based on current consumer preferences. These systems have shown to be extremely helpful in different areas of e-commerce, education, movies, music, books, films, scientific papers, and various products. This paper reviews many approaches of recommendation techniques with their upsides and downsides and diverse performance measures. We have reviewed various articles, analyzed their technique and approach, major features of the algorithm utilized, and potential areas for improvement in that research work.

scholarly journals Product Recommendation System a Comprehensive Review

2021 ◽  
Vol 1022 ◽  
pp. 012021
Author(s):  
Jatin Sharma ◽  
Kartikay Sharma ◽  
Kaustubh Garg ◽  
Avinash Kumar Sharma
Keyword(s):  
Recommendation System ◽  
Comprehensive Review ◽  
Product Recommendation ◽  
System A

scholarly journals Cardiac arrhythmia detection outcomes among patients monitored with the Zio patch system: a systematic literature review

2019 ◽  
Vol 35 (10) ◽  
pp. 1659-1670 ◽  
Author(s):  
Mihran Yenikomshian ◽  
John Jarvis ◽  
Cody Patton ◽  
Christopher Yee ◽  
Richard Mortimer ◽  
...  
Keyword(s):  
Literature Review ◽  
Cardiac Arrhythmia ◽  
Systematic Literature Review ◽  
Arrhythmia Detection ◽  
System A

scholarly journals Clustering the mediators between the sales control systems and the sales performance using the AMO model: A narrative systematic literature review

2018 ◽  
Vol 14 (3) ◽  
pp. 387 ◽  
Author(s):  
Alejandro Benet-Zepf ◽  
Juan A. Marin-Garcia ◽  
Ines Küster
Keyword(s):  
Literature Review ◽  
Control Systems ◽  
Systematic Literature Review ◽  
Customer Orientation ◽  
Behavioral Control ◽  
Sales Performance ◽  
Sales Force ◽  
Organizational Conditions ◽  
Scientific Papers ◽  
Business Source Premier

Purpose: To identify all types of sales force control systems in the academic literature, and to cluster the mediators between these controls and the performances, according to the AMO model (abilities, motivations, and opportunities), analysing how each of these three groups of mediators are influenced by control systems, and how they impact on the sales performance, using a systematic literature review]Design/methodology/approach: Scientific papers published during the last 32 years, using as databases: Business Source Premier (EBSCO), Science Direct, Scopus, Web of Science, and Google Scholar. Business, Management and Social Sciences were taken as selection fields. False positives identification, exclusions after reading the abstracts, and after reading the whole article, was performed by the authors by consensus. 114 articles of the initial selection of non-repeated references, together with 28 additional citations integrated the final selection.Findings: A new framework based on a grouping of mediators between the control systems and the performances, into abilities, motivations and capabilities is proposed. Originality/value: As academic result, the review highlights that all three groups from the AMO model evidence positive impacts on sales performance when a behavioral control system (mostly from the capability part) is in use, by enhancing salesperson’s skills, motivation, and organizational conditions and support, fostering as a result, a salesperson relational approach and a customer orientation, which generate the best outcomes in the long term. These findings suggest as a managerial contribution, that coaching and leading -rather than commanding- to be a more appropriate control attitude, especially when the salesperson is younger or unexperienced.

scholarly journals Applying uncertainty reduction strategy for improving performance of questionnaire technique of solving cold user problem

2021 ◽  
Vol 13 (2) ◽  
pp. 47-53
Author(s):  
M. Abubakar ◽  
K. Umar
Keyword(s):  
Collaborative Filtering ◽  
Recommendation System ◽  
Research Work ◽  
Recommendation Systems ◽  
Cold Start ◽  
New Product ◽  
Uncertainty Reduction ◽  
Experimental Result ◽  
Reduction Strategy ◽  
Product Recommendation

Product recommendation systems are information filtering systems that uses ratings and predictions to make new product suggestions. There are many product recommendation system techniques in existence, these include collaborative filtering, content based filtering, knowledge based filtering, utility based filtering and demographic based filtering. Collaborative filtering techniques is known to be the most popular product recommendation system technique. It utilizes user’s previous product ratings to make new product suggestions. However collaborative filtering have some weaknesses, which include cold start, grey sheep issue, synonyms issue. However the major weakness of collaborative filtering approaches is cold user problem. Cold user problem is the failure of product recommendation systems to make product suggestions for new users. Literature investigation had shown that cold user problem could be effectively addressed using active learning technique of administering personalized questionnaire. Unfortunately, the result of personalized questionnaire technique could contain some user preference uncertainties where the product database is too large (as in Amazon). This research work addresses the weakness of personalized questionnaire technique by applying uncertainty reduction strategy to improve the result obtained from administering personalized questionnaire. In our experimental design we perform four different experiments; Personalized questionnaire approach of solving user based coldstart was implemented using Movielens dataset of 1M size, Personalized questionnaire approach of solving user based cold start was implemented using Movielens dataset of 10M size, Personalized questionnaire with uncertainty reduction was implemented using Movielens dataset of 1M size, and also Personalized  questionnaire with uncertainty reduction was implemented using Movielens dataset of 10M size. The experimental result shows RMSE, Precision and Recall improvement of 0.21, 0.17 and 0.18 respectively in 1M dataset and 0.17, 0.14 and 0.20 in 10M dataset respectively over personalized questionnaire.

scholarly journals INNOVATION AT AIRPORTS: A SYSTEMATIC LITERATURE REVIEW (2000–2019)

Aviation ◽  
2021 ◽  
Vol 25 (3) ◽  
pp. 220-231
Author(s):  
Sena Kiliç ◽  
Caglar Ucler ◽  
Luis Martin-Domingo
Keyword(s):  
Literature Review ◽  
Communication Technology ◽  
Systematic Literature Review ◽  
Ad Hoc ◽  
Academic Research ◽  
Focal Points ◽  
Information Communication ◽  
Strategic Approach ◽  
Scientific Papers ◽  
Challenging Environment

Airports operate in a highly-competitive and challenging environment. Therefore, in order to remain competitive, innovation is imperative for airports. This paper aims to conduct academic research into innovation at airports by reviewing studies published from 2000 to 2019 for presenting key findings. A systematic literature review was made based on scientific papers indexed in Scopus with the keywords innovation and airport in the title, abstract or keywords sections, consolidating the innovation focus, approach and degree discussed with respect to innovation areas and territorial focal points. Consequently, it was found that research on airport innovation is: (i) mainly focused on products/services, (ii) concerned with leveraging ICT (Informatıon Communication Technology), (iii) implemented ad-hoc without a consolidated strategic approach, and (iv) lacks the input of external innovation scholars and specialists.

scholarly journals Determining the Potential of Graduate Analytics Based on the iCGPA System: A Systematic Literature Review

2020 ◽  
Vol 7 (2) ◽  
pp. 3-21
Author(s):  
Wan Nor Afiqah Wan Othman ◽  
Aziman Abdullah
Keyword(s):  
Higher Education ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Literature ◽  
Potential Utility ◽  
Inclusion Criteria ◽  
Tracer Studies ◽  
Academic Literature ◽  
System A

This study was conducted to address the issue of gathering information to track the career and accomplishments of graduates for quality improvement in higher education. Due to the lack of a convenient method to gather information using an efficient mechanism, this study reviewed graduate analytics based on the iCGPA system with the primary aim of examining its potential utility in such a system, and vice versa. A systematic literature review was conducted to integrate the relevant academic literature related to graduate analytics and iCGPA system. Using the PRISMA method, we identified 160 different articles, but only 125 met the specified inclusion criteria. Our analysis of the accepted articles to determine the potential of graduate analytics in iCGPA system, and vice versa, produced zero results where no intersection of the two topics could be found in the research literature from 2011 to 2018. Our findings indicate an acute lack of research in these two areas. However, we believe this gap can be minimized since there are already higher education institutions in Malaysia that are currently implementing the iCGPA system. The implementation could inform us regarding how graduate analytics can be used to expand the value of iCGPA for improving the quality of Malaysian higher education graduates. Keywords: Graduate analytics, iCGPA system, systematic literature review, graduate tracer studies, PRISMA method

Systematic Literature Review on Empirical Results and Practical Implementations of Healthcare Recommender Systems

2018 ◽  
pp. 2206-2226
Author(s):  
Adekunle Oluseyi Afolabi ◽  
Pekka Toivanen ◽  
Keijo Haataja ◽  
Juha Mykkänen
Keyword(s):  
Literature Review ◽  
Home Care ◽  
Recommender Systems ◽  
Systematic Literature Review ◽  
Recommender System ◽  
Empirical Results ◽  
The Core ◽  
Extensive Search ◽  
Speed And Accuracy ◽  
Medical And Healthcare

This systematic literature review is aimed at examining empirical results and practical implementations of healthcare recommender systems. While fundamentally many of the development of recommender systems in medical and healthcare are based on theory and logic, the performance is always measured in terms of empirical results and practical implementations from evaluation of such systems. Besides, the ultimate judgment of the effectiveness of the methods and algorithms used is often based on the empirical results of recommender systems. Robustness, efficiency, speed, and accuracy are also best determined by empirical results. Extensive search was carried out in some major databases. Literature were grouped into three categories namely core, related, and relevant. The core papers were subjected to further analysis. The result shows that most work reviewed were partially evaluated and have a promising future. Moreover, a yet-to-be explored novel proposal for integration of a recommender system into smart home care is presented.

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