Online DEA & SFA course – 3 days – June 2024

Online Courses on:

Performance Measurement Using Data Envelopment Analysis (DEA) & Stochastic Frontier Analysis (SFA)

Details: https://dataenvelopment.com/course/

DATA ENVELOPMENT ANALYSIS COURSE:
June, 2024

STOCHASTIC FRONTIER ANALYSIS COURSE:
June, 2024

For registration and further details please visit: https://dataenvelopment.com/course/

Early registration fee: 
April 30, 2024

Details: https://dataenvelopment.com/course/

DEA2024:International Conference of Data Envelopment Analysis,BIMTECH, Noida, Delhi, India, from November 18 to 21, 2024

Call for papers: DEA2024:
International Conference of Data Envelopment Analysis, BIMTECH, Noida, Delhi, India, from November 18 to 21, 2024

Dear Colleagues,

We are pleased to announce the DEA2024: International Conference of Data Envelopment Analysis, scheduled to take place at Birla Institute of Management Technology (BIMTECH Noida), Delhi, India, from November 18 to 21, 2024. This conference is jointly organized by BIMTECH Noida and the Centre for Business Analytics in Practice (CBAP) at Surrey Business School, UK.

Data Envelopment Analysis (DEA), developed by Charnes, Cooper, and Rhodes in 1978, is a non-parametric method assessing the efficiency of decision-making units (DMUs) with multiple inputs and outputs. Unlike parametric methods, DEA avoids prior assumptions on functional form or distribution. It establishes an empirical production frontier from observed DMU data, representing the pinnacle of input-output relationships. Each DMU is evaluated against this frontier to determine efficiency. DEA’s versatility spans economics, management science, operations research, and public sector evaluation, especially in cases involving multiple inputs/outputs or nonlinear relationships. Key advantages include non-parametricity, handling multiple inputs/outputs, benchmarking potential, and flexibility in addressing efficiency issues like cost, production, and allocative efficiency.

The theme of this conference is “Advancing DEA: Bridging Theory and Practice”. We cordially invite researchers, academics, and practitioners to submit original research papers across disciplines that explore DEA applications, model development, and its utilization to address policy matters.

Important Dates:

  • Workshops and PhD/DBA consortiums day: November 18, 2024
  • Conference date: November 19-21, 2024
  • Abstract Submission Deadline: June, 30, 2024

About BIMTECH, Nodia, Delhi, India

Birla Institute of Management Technology was established in 1988 under the aegis of the Birla Academy of Art and Culture, and supported by the Birla group of companies with the vision of developing ethical leaders with entrepreneurial mindset. BIMTECH is like a school where international business endeavors are also made. BIMTECH holds accreditations from AACSB, NBA, and NAAC. It provides a highly conducive academic environment, interaction with hard-working and industry-academia mix professors, proximity to the strategy makers of the industry and practitioners of the service and manufacturing companies, and exposure to international universities and companies.

More information about the scientific and social program of the conference as well as paper submission can be found at https://dataenvelopment.com/DEA2024/. Contact email: dea2024@bimtech.ac.in.  

We look forward to seeing you at the I Conference in Delhi, India!

With warm regards,

Ali Emrouznejad, University of Surrey, UK

Subhash Ray, University of  Connecticut USA		Prabina Rajib, BIMTECH, Delhi NCR, India

Harivansh Chaturvedi, Chief Education Advisor to Birla Group of Institutions and
Alternate President of Education Promotion Society for India (EPSI), India

Gokulnanda Patel, BIMTECH, Delhi NCR, India

Call for papers: Socio-Economic Planning Sciences – Special Issue: “Data envelopment analysis: Novel models and methodologies for efficiency and performance assessment of public organisations”

Call for papers


Call for papers: Socio-Economic Planning Sciences – Special Issue: “Data envelopment analysis: Novel models and methodologies for efficiency and performance assessment of public organisations

Guest Editors:

Victor Podinovski, Loughborough Business School, UK
Grammatoula Papaioannou, Loughborough Business School, UK

Special issue information:
Performance and efficiency assessment of the public sector organisations is an important and fast-growing area of research.
Data envelopment analysis (DEA) is a major methodology used for the analysis of efficiency of public organisations. This is partly because of the complex nature of such organisations and the contexts in which they operate, and also because of the multidimensional nature of the resources used and services provided by them.
This special issue will be a natural outlet for the papers seeking to develop novel mathematical models and methodologies for efficiency evaluation in the public sector. These methodologies will address ways to account for complex organisational structures, different socio-economic environments, different types of data, multiple perspectives of several stakeholders in the decision-making process, and other factors and considerations.

Scope
This special issue will show development of new models and methodologies addressing common issues and complexities arising in applications of DEA to public sector organisations. These include, but are not limited to, complex organisational structures, differences in socio-economic environment, use of different types of data (e.g., categorical or ratio types), preferences of the stakeholders, quality characteristics of the services, equity and equality aspects of the assessment and decision-making processes, and so on.
It is expected that papers in this special issue will cover the above topics, with fully developed or illustrative applications in such sectors as education, health care and various public services.

Evaluation criteria
Submitted manuscripts are expected to advance the modelling of complex evaluation scenarios in the public sector applications, by making a noticeable contribution to either theory or methodology of DEA.
The main evaluation criteria will be novelty of the models and methodologies, as well as their sound justification and interpretation in the discussed application context. The writing should be clear, concise and inspiring. Straightforward applications of known DEA techniques to a particular sector, without clear modelling contributions, and also purely mathematical derivations, without a clear practical motivation, may not be a good fit for this special issue.

Manuscript submission information:
Planned timeline
Manuscript submission opens: 01 December 2023
Manuscript submission closes: 30 June 2024


Submission guidelines
Please submit your manuscript through the journal’s submission system, following the guidelines available here. 
When submitting, please make sure that you select Article Type: “VSI: Data envelopment analysisr”.
All submitted manuscripts will be rigorously reviewed according to the editorial policy of Socio-Economic Planning Sciences and in line with the scope of this Special Issue.

Guest Editors

Victor Podinovski
Loughborough Business School,
UK,
V.Podinovski@lboro.ac.uk		Grammatoula Papaioannou
Loughborough Business School,
UK
G.Papaioannou@lboro.ac.uk

Call for papers: IMA Journal of Management Mathematics – Special Issue: “Leveraging Business Analytics and AI in Consumer Behaviour Analysis”

Call for papers

Guest Editors

Ali Emrouznejad, Professor and Chair in Business Analytics, Director, Centre for Business Analytics in Practice, Surrey Business School, Guildford, UK

Panagiotis (Panos) Zervopoulos, Associate Professor, College of Business Administration, University of Sharjah, Sharjah, UAE

John Rice, Professor and Director of the DBA Program, College of Business Administration, University of Sharjah, Sharjah, UAE

The College of Business Administration (CoBA) at the University of Sharjah (UAE) and the Centre for Business Analytics (CBAP) at Surrey Business School, UK, will be co-organizing the much-anticipated International Conference on Business Analytics in Practice in January 2024. We are pleased to announce a special issue on “Leveraging Business Analytics and AI in Consumer Behaviour Analysi” in the IMA Journal of Management Mathematics (IMAMAN), published by Oxford University Publisher.

Overview:

In today’s data-driven world, business analytics plays a pivotal role in comprehending complex systems and facilitating well-informed decision-making. This special issue aims to foster a collaborative platform for innovative research that explores the intersection of business analytics, artificial intelligence (AI), and consumer behaviour analysis. We cordially invite researchers, academicians, and industry practitioners to contribute their expertise through original research articles, intriguing case studies, and insightful review papers.

Objective:

The primary objective of this special issue is to showcase the cutting-edge advancements, state-of-the-art methodologies, and practical applications in leveraging business analytics and AI techniques for analysing consumer behaviour. We enthusiastically welcome high-quality contributions that present novel insights, empirical studies, theoretical models, and real-world applications, thereby enhancing our collective understanding of consumer behaviour analysis and decision-making processes.

Scope and Topics:

For this special issue, we invite papers related to the following topics (but not limited to):

  • Application of machine learning, deep learning, and AI algorithms in consumer behaviour analysis.
  • Predictive analytics for consumer behaviour modelling and forecasting.
  • Consumer segmentation and profiling using business analytics techniques.
  • Recommender systems and personalized marketing strategies.
  • Sentiment analysis and opinion mining in consumer reviews and social media data.
  • Social network analysis and influence on consumer behaviour.
  • Pricing and revenue management based on consumer behaviour analytics.
  • Consumer churn prediction and proactive retention strategies.
  • Visualization techniques for consumer behaviour analytics.
  • Consumer lifetime value estimation and optimization.

Please note: Manuscripts on the above topics should make a clear and unique contribution to Operations Research (OR) through relevant references to OR literature and must contain a section or sub-section on the managerial implications and impact of the research for real-world practice.

Instructions for Authors can be found at:

Authors should submit a cover letter and a manuscript by December 31, 2023, via the Journal’s online submission site. Manuscripts submitted after the deadline may not be considered for the special issue and may be transferred, if accepted, to a regular issue.

Please see the Author instructions on the website, when submitting, please select the special issue’s title “CBAP- Leveraging Business Analytics and AI in Consumer Behaviour Analysis”, to ensure that it will be reviewed for this special issue (https://mc.manuscriptcentral.com/imaman).    

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Papers will be subject to a strict review process managed by the Guest Editors and accepted papers will be published online individually, before print publication.

Important Dates:

31 December 2023:Submission deadline.
Submit at: https://mc.manuscriptcentral.com/imaman, (early submission recommended, referee process starts once the paper is received, accepted papers will be published individually online as they are accepted)
31 March 2024:Notification of status and acceptance of paper.
31 July 2024:Revised manuscripts.
31 October 2024:Final version of paper.

Guest Editors

Ali Emrouznejad
Professor and Chair in Business Analytics,
Surrey Business School,
University of Surrey,
Guildford,
UK,
a.emrouznejad@surery.ac.uk		Panagiotis (Panos) Zervopoulos
Associate Professor,
College of Business Administration,
University of Sharjah,
Sharjah, UAE,
pzervopoulos@sharjah.ac.ae		John Rice
Professor and Director of the DBA Program,
College of Business Administration,
University of Sharjah,
Sharjah,
UAE
jrice@sharjah.ac.ae

Call for papers: Socio-Economic Planning Sciences – Special Issue: “Analytical Models and AI for Sustainable Development: Enhancing Decision-Making”

Call for papers

Guest Editors

Ali Emrouznejad, Professor and Chair in Business Analytics, Director, Centre for Business Analytics in Practice, Surrey Business School, Guildford, UK

Dima Rachid Jamali, Professor and Dean of the College of Business Administration at the University of Sharjah, Sharjah, UAE

Panagiotis (Panos) Zervopoulos, Associate Professor, College of Business Administration, University of Sharjah, Sharjah, UAE

The College of Business Administration (CoBA) at the University of Sharjah (UAE) and the Centre for Business Analytics (CBAP) at Surrey Business School, UK, will be co-organizing the much-anticipated International Conference on Business Analytics in Practice in January 2024. We are pleased to announce a special issue on “Analytical Models and AI for Sustainable Development: Enhancing Decision-Making” in the Journal of Socio-Economics Planning Sciences (SEPS).

Business analytics plays a crucial role in understanding complex systems and enabling well-informed decision-making. By incorporating artificial intelligence techniques such as machine learning, predictive modelling, and optimization, along with methodologies like Data Envelopment Analysis and Analytical Hierarchy Process, these models excel in handling vast amounts of data, recognizing patterns, and delivering actionable recommendations to decision-makers.

Sustainable development is a global imperative that addresses present needs while safeguarding the interests of future generations. It encompasses environmental, social, and economic dimensions, necessitating holistic approaches to decision-making.

The objective of this special issue is to foster discussions, exchange innovative ideas, and advance the practical applications of business analytics and AI in the realm of sustainable development. Through the dissemination of high-quality research and the exploration of policy implications, we aim to underscore the transformative potential of these disciplines, thereby enhancing decision-making effectiveness in pursuit of sustainable development goals.

Scope and Topics:

We invite researchers, academics, and practitioners to submit original research papers, case studies, and reviews related to the following topics (but not limited to):

  • Applications of business analytics and AI techniques in sustainable development,
  • Decision support systems integrating analytical models and AI for sustainable development,
  • Predictive models for analysing the impact of AI on sustainable development,
  • Optimization techniques for sustainable decision-making,
  • Ethical considerations in the use of AI for sustainable development,
  • AI-driven solutions for environmental conservation and resource management,
  • Novel case studies demonstrating successful implementation of analytical models and AI in sustainable development projects,
  • Policy implications and guidelines for utilizing business analytics and AI in decision-making processes for sustainable development.

Please note: Manuscripts on the above topics should make a clear and unique contribution to Operations Research (OR) through relevant references to OR literature.

Instructions for Authors can be found at:

Authors should submit a cover letter and a manuscript by December 31, 2023, via the Journal’s online submission site. Manuscripts submitted after the deadline may not be considered for the special issue and may be transferred, if accepted, to a regular issue.

Please see the Author instructions on the website, when submitting, please select the special issue’s title “CBAP- Enhancing Decision-Making”, to ensure that it will be reviewed for this special issue (https://www.editorialmanager.com/seps/default2.aspx).   

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Papers will be subject to a strict review process managed by the Guest Editors and accepted papers will be published online individually, before print publication.

Important Dates

31 December 2023:Submission deadline:
submit at: https://www.editorialmanager.com/seps/default2.aspx
(early submission recommended, referee process starts once the paper is received, accepted papers will be published individually online as they are accepted)
31 March 2024:Notification of status and acceptance of paper
31 July 2024:Revised manuscripts
31 October 2024:Final version of paper

Guest Editors

Ali Emrouznejad
Professor and Chair in Business Analytics,
Surrey Business School,
University of Surrey,
Guildford,
UK,
a.emrouznejad@surery.ac.uk		Dima Rachid Jamali
Professor and Dean of the College of Business,
Administration at the University of Sharjah,
Sharjah,
UAE
djamali@sharjah.ac.ae		Panagiotis (Panos) Zervopoulos
Associate Professor,
College of Business Administration,
University of Sharjah,
Sharjah, UAE,
pzervopoulos@sharjah.ac.ae

Annals of Operations Research Special Issue: In Memoriam of Professor Rajiv Banker on the New Developments in Data Envelopment Analysis and Its Applications

Guest Editors

Ali Emrouznejad, Surrey Business School, University of Surrey, UK
Victor Podinovski* Loughborough Business School, Loughborough University, UK

New Developments in Data Envelopment Analysis and its Applications

in

Memoriam of Prof. Rajiv Banker (1953–2023)

http://deazone.com/en/anor-rajivbanker

Professor Rajiv Banker passed away on March 1, 2023. As an exceptional scholar in the field of Data Envelopment Analysis (DEA), Professor Banker made unparalleled contributions to the field and the wider academic community. His outstanding research, expertise, and unwavering dedication to advancing the field of DEA will be remembered for generations to come.

Professor Banker’s legacy will undoubtedly live on through his published works and the countless students and colleagues he mentored and inspired. This special issue seeks to publish papers that build directly or indirectly on Rajiv Banker’s work on Data Envelopment Analysis (DEA). We are especially looking for papers that develop new ideas in DEA.

We welcome submissions on a wide range of topics related to DEA, including but not limited to:

  • Methodology and models
  • Applications in finance, healthcare, education, agriculture and other sectors
  • DEA approaches incorporating AI, machine learning, big data

We also encourage submissions that provide new insights into Professor Banker’s work, or that pay tribute to his contributions to the field.  

Submission Guidelines:

Authors should submit a cover letter and a manuscript by the deadline, via the Journal’s online submission site. Manuscripts submitted after the deadline may not be considered for the special issue and may be transferred, if accepted, to a regular issue.

Instructions for Authors:

When submitting your full paper, please follow the author guidelines and formatting requirements provided on the Journal’s website. When prompted for the article type, please select Original Research. On the Additional Information screen, you will be asked if the manuscript belongs to a special issue, please choose yes and the special issue’s title, In Memoriam of Professor Rajiv Banker on the New Developments in Data Envelopment Analysis and Its Applications, to ensure that it will be reviewed for this issue.

Papers should be original research articles that have not been published or submitted for publication elsewhere.

Important Date

December 31, 2023Submission deadline (early submission recommended, referee process starts once the paper is received, accepted papers will be published individually online as they are accepted)

Guest Editors

Professor Ali Emrouznejad Director of Centre for Business Analytics in Practice, Surrey Business School,
University of Surrey, UK, A.Emrouznejad@surrey.ac.uk  		Professor Victor Podinovski Management Science and Operations Group, Loughborough Business School,
Loughborough University, UK,
V.Podinovski@lboro.ac.uk  

Call for Papers: Sustainability Analytics and NetZero, October 17-19, 2023, Qatar

Downlaod call for papers HERE

Dear Colleagues,
We cordially invite you to participate in the special track on “Sustainability Analytics and NetZero” as part of the 6th International Conference of Entrepreneurship for Sustainability & Impact (ESI). This esteemed conference will be held in Doha, Qatar, from October 17th to 19th 2023. We welcome contributions from both academic and non-academic communities.

The “Sustainability Analytics and NetZero” track aims to foster collaboration among researchers, practitioners, and policymakers in exploring innovative approaches and solutions in the field of sustainability analytics, with a specific focus on achieving NetZero goals. We encourage submissions on various topics, including, but not limited to: Sustainable data analytics and modelling, NetZero strategies and implementation, Renewable energy systems and technologies, Sustainable transportation and logistics, Circular economy and resource management, Sustainable supply chain and operations management, Environmental impact assessment and management, Climate change adaptation and mitigation, AI for Sustainability, Social and economic implications of sustainability initiatives.

Researchers and practitioners from academia, industry, and government agencies are invited to submit their research papers for presentation at the conference. We also encourage the submission of innovative case studies and practical applications that demonstrate real-world sustainability analytics and NetZero implementations. Accepted papers will be published in the conference proceedings.

Please ensure that your submissions adhere to the conference guidelines and formatting instructions provided on the conference website. The conference will be recognizing outstanding contributions with the following awards:
– Best Paper Awards: the winner will be awarded the sum of $1,500 and the runner-up will be awarded $1,000.
– Best Case Study Awards: the winner will be awarded the sum of $1,500 and the runner-up will be awarded $1,000.
Abstract submission deadline: June 30, 2023

Registration and Fees:
All paper presentations will take place in person and on-site. At least one author must register and attend the conference in person to present. Qatar University supports the ESI 2023 conference by covering the registration fees for accepted papers. For more information and paper submission, please visit https://www.qu.edu.qa/conference/ESI2023. We look forward to your valuable contributions and active participation in the special track on “Sustainability Analytics and NetZero” at ESI 2023.
Kind regards,

Ali Emrouznejad, Professor and Director of Centre for Business Analytics in Practice, Surrey Business School, University of Surrey, UK, http://emrouznejad.com/.
Abdellatef Majed Anouze, Associate Professor of Operations and Supply Chain Management, Qatar University, Qatar

The following papers might be of your interest:

  • Emrouznejad, A., M. Marra, G. L. Yang, M. Michali (2023) Eco-efficiency considering NetZero and Data Envelopment Analysis: A critical literature review, IMA Journal of Management Mathematics (doi).
  • Azadi, M., R, Kazemi Matin, A. Emrouznejad, and W. Ho(2023) Evaluating Sustainably Resilient Supply Chains: A Stochastic Double Frontier Analytic Model Considering NetZero. Annals of Operations Research (doi).
  • Taleb, M., , R. Khalid, A. Emrouznejad, R. Ramli (2023). Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero. Environment, Development and Sustainability (doi).
  • Emrouznejad A., G. L. Yang and G. R. Amin (2019) A novel inverse DEA model with application to allocate the CO2 emissions quota to different regions in Chinese manufacturing industries, Journal of the Operational Research Society, 70 (7): 1079-1090. (doi). Production, 223 (20): 641-650. (doi).
  • Emrouznejad, A., G. L. Yang (2016) CO2 emissions reduction of Chinese light manufacturing industries: A novel RAM-based global Malmquist–Luenberger productivity index, Energy Policy 96: 397–410. (doi).
  • Emrouznejad, A., ­G. L. Yang (2016) A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries, Energy 115 (1): 840-856. (doi)

Lecturer/Senior Lecturer in Business Analytics

Location: Guildford
Salary: £44,414 to £64,946
Post Type: Full Time
Closing Date: 23.59 hours BST on Monday 22 May 2023
Reference: 022423

Starting Salary for Lecturer: £44,414

Starting Salary for Senior Lecturer £54,421

The University of Surrey is a global university with a world-class research profile, and an enterprising and forward-thinking spirit committed to research excellence and to benefiting the economy, society and the environment. Our researchers practise their excellence against the backdrop of a broad spectrum of technological, human, health and social sciences, and strong linkages forged in an integrated campus culture of cooperation.

The Department of Business Transformation at Surrey Business School is seeking applications for TWO Lecturer/Senior Lecturer positions in the broad area of Business Analytics. This is part of an ambitious effort to develop a world-class group of scholars who will make significant contributions to the various facets of business analytics research and teaching. Business analytics expertise in our department covers a wide range, including machine learning and AI, econometrics and statistics, DEA, simulations and optimization, and we are open to candidates with expertise in any of the above. Our department is also deeply engaged with local and international businesses which provide opportunity for creating impact and generating research funds. Our researchers are closely linked to the newly established Centre for Business Analytics in Practice (CBAP) within the Business School. We actively collaborate with scholars across the University such as computer science, engineering, data science and digital health, and publish widely in high impact prestigious journals from a wide range of disciplines.  

Please specify in your cover letter which position you are applying for. All candidates should hold a doctoral degree (or close to obtaining one), demonstrate experience of published research outputs at CABS 4*/3* or equivalent levels, and experience of teaching advanced quantitative modules within a business school context. Candidates applying for the Senior Lecturer position should demonstrate research leadership within their fields in the form of a sustained publication record in top journals, experience of leading and managing research grants/contracts, with a strong research network and pipeline.

While we are open to research areas, alignment with the strategic research themes of University of Surrey (https://www.surrey.ac.uk/research/themes) will be desirable. For at least one of the advertised positions, we would like to encourage candidates with expertise in the SAS statistical software.

Diversity is core to our values and we encourage applications from diverse backgrounds.

Informal enquiries should be directed in the first instance to Dr Abhijit Sengupta (Abhijit.Sengupta@surrey.ac.uk), Head of Department, Business Transformation, Surrey Business School.

Further details:   Lecturer Job Description     Senior Lecturer Job Description 
 
CLICK HERE to Apply online

ICBAP: International Conference on Business Analytics in Practice, Jan 8-11, 2024, Sharjah, UAE

Submit your abstract at: https://academyba.com/icbap2024/submission/
LinkedIn: CLICK HERE
Deadline: 31st October 2023
Dear Colleagues,

On Behalf of the organizing committee, I’m excited to share with you that the highly anticipated International Conference on Business Analytics in Practice (ICBAP2024) will take place in Sharjah, UAE from January 8-11, 2024.

The ICBAP2024 is jointly organized by the Centre for Business Analytics (CBAP) at Surrey Business School, UK, and the College of Business Administration (CoBA) at the University of Sharjah, UAE.

We cordially invite you to join us in this multidisciplinary conference where leading experts in business analytics will be sharing their knowledge and insights. This conference is a unique opportunity for professionals, academics, and students to collaborate, exchange ideas and network with like-minded individuals from around the world.

Further information: https://academyba.com/icbap2024/

Submit your abstract at: https://academyba.com/icbap2024/submission/

Best regards
Ali

Ali Emrouznejad, Professor and Director, Centre for Business Analytics in Practice, University of Surrey, Guildford, UK

LinkedIn: CLICK HERE

Organizing committee:
ProfessorAli Emrouznejad
ProfessorDima Jamali
Professor Panagiotis (Panos) Zervopoulos
Professor John Rice
 

Call for Papers: Intelligent Search Engines (Machine Learning with Applications)

Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intellgence and Machine Learning

Special issue on: Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intelligence and Machine Learning

Journal: Machine Learning with Applications  

Guest Editors:
Professor Ali Emrouznejad, Director of Centre for Business Analytics in Practice, Surrey Business School, University of Surrey, Guildford, Surrey, UK, a.emrouznejad@surrey.ac.uk

Professor Vincent Charles, University of Bradford, Bradford, UK, c.vincent3@bradford.ac.uk

Details: https://bit.ly/MLWA-SearchEngine

Intelligent Search Engines

In recent years, intelligent search engines have transformed the way we search, discover, and consume information online by utilising Artificial Intelligence (AI) and Machine Learning (ML) technologies to deliver search results that are more precise, relevant, and personalised. While traditional search engines rely on predefined algorithms based on keyword matching and ranking factors that can often result in irrelevant or incomplete search results, intelligent search engines use AI and ML algorithms to comprehend the intention behind a user’s search query and offer more accurate, relevant, and personalised results, leading to more efficient and effective information retrieval, and consequently, increased user adoption. Natural Language Processing (NLP), Natural Language Understanding (NLU), and analysis of various signals such as search history, location, device type, preferences, and user behaviour are used by intelligent search algorithms to better understand what users are looking for. Moreover, existing AI- and ML-based search engines often exhibit biases, which are a result of the training data, the algorithms and sample used, and the user behaviour, among others. Hence, developing new AI- and ML-based search engines that are unbiased, transparent, inclusive, and ethical is crucial for ensuring fair and equitable access to information, and require a multi-faceted approach that involves careful attention to the design, development, and evaluation of such intelligent search engines. As the complexity of intelligent search engines increases, it is also important to consider issues related to the privacy and security of users’ sensitive personal data collected by the engines, along with transparency and accountability issues. Thus, developing intelligent search engines with enhanced transparency, privacy, and security systems is imperative.

The aim of this special issue on “Revolutionising Search Experience: Intelligent Search Engines Powered by Artificial Intelligence and Machine Learning” is to bring together cutting-edge research on the latest advancements in intelligent search engines and their potential to revolutionise the search experience for users. We welcome researchers and practitioners to submit their contributions and share their innovative research on the latest advancements in intelligent search engines.

Scope of the Special Issue: Topics include, but are not limited to:

  • AI and ML algorithms for search relevance and personalisation
  • AI and ML algorithms for search engine optimisation
  • AI and ML algorithms for more inclusive and equitable search engines
  • AI and ML algorithms for enhancing the transparency, privacy, and security of search engines
  • Recommender systems for search engines
  • NLP and NLU techniques for intelligent search
  • Semantic web and knowledge graphs for intelligent search
  • User behaviour analysis for personalised search
  • Search intent and context analysis
  • Conversational search and chatbots
  • Integration of intelligent search engines with other technologies, such as voice search and virtual assistants
  • Use cases and real-world applications of intelligent search engines in various domains, such as e-commerce, finance, marketing and advertising, healthcare, education, travel and hospitality, and government and public services, among others
  • Evaluation metrics for intelligent search, including new evaluation metrics for assessing the fairness and inclusivity of search engines

We welcome both theoretical and practical contributions from academia and industry. All submitted papers will be peer-reviewed and selected based on their originality, significance, and technical quality.

About MLWA journal and Publication fee:

Although the journal Machine Learning with Applications is an Open Access journal, publication fees will be waived for the articles published in this Special Issue. More on the MLWA journal can be found at: https://www.sciencedirect.com/journal/machine-learning-with-applications.

Important Dates:

  • Submission deadline: August 31, 2023
  • Notification of first round of review results: October 31, 2023
  • Submission of revised papers: November 20, 2023
  • Final acceptance decisions notifications: December 21, 2023

Submission Guidelines:

All papers must be submitted through the journal’s online submission system. Please follow the journal’s author guidelines for formatting and other details at: https://www.editorialmanager.com/mlwa/.

When submitting your manuscript please select the name of the special issue: “VSI: Intelligent Search Engines”

Details: http://DEAzone.com/MLWA-SearchEngine

Why publish in this Special Issue?

  • Special Issue articles are published together on ScienceDirect, making it incredibly easy for other researchers to discover your work.
  • Special content articles are downloaded on ScienceDirect twice as often within the first 24 months than articles published in regular issues.
  • Special content articles attract 20% more citations in the first 24 months than articles published in regular issues.
  • All articles in this special issue will be reviewed by no fewer than two independent experts to ensure the quality, originality and novelty of the work published.
  • Learn more about the benefits of publishing in a special issue:
     https://www.elsevier.com/authors/submit-your-paper/special-issues 
https://www.linkedin.com/company/cbap/