Author Guidelines

  1. Scope and Topics

Intelligent Retrieval is dedicated to the latest developments in intelligent retrieval systems, methods, and technologies. The journal publishes high-quality research articles, reviews, and case studies that explore innovative approaches to data retrieval and search, with applications in fields such as information retrieval (IR), machine learning (ML), artificial intelligence (AI), data mining, and natural language processing (NLP). Topics of interest include, but are not limited to:

  • Intelligent information retrieval systems
  • Machine learning and deep learning in retrieval systems
  • Search algorithms and ranking methods
  • Retrieval models (e.g., probabilistic models, vector space models)
  • Natural language processing techniques in retrieval
  • Knowledge discovery and data mining
  • Recommender systems
  • Semantic search and indexing
  • Personalization of search and retrieval systems
  • Human-computer interaction in information retrieval
  • Evaluation metrics and benchmarks for retrieval systems
  • Cloud computing and distributed retrieval
  • Retrieval in multimedia (text, images, videos)
  • Retrieval systems for big data and real-time data
  1. Types of Manuscripts

We accept the following types of manuscripts:

  • Original Research Articles: Full-length, original studies that introduce new methods, algorithms, or applications in intelligent retrieval.
  • Review Articles: Comprehensive overviews that summarize the state of the art in intelligent retrieval technologies and their applications.
  • Technical Notes: Brief communications on novel techniques, tools, or improvements in the field of retrieval systems.
  • Case Studies: Real-world implementations and applications of intelligent retrieval systems in specific industries or sectors.
  • Letters to the Editor: Brief commentaries or responses to recent articles or new challenges in intelligent retrieval research.
  1. Manuscript Preparation

Manuscripts must be prepared in English and adhere to the following structure:

Title Page

  • Title: A concise, clear, and descriptive title.
  • Authors: Full names, affiliations, and email addresses of all authors.
  • Corresponding Author: Full contact details for the corresponding author.
  • Keywords: 4-6 relevant keywords that best describe the research.

Abstract

  • The abstract should summarize the key elements of the research, including the objectives, methods, results, and conclusions.
  • It should be between 150-250 words.
  • Avoid the use of references, figures, or tables in the abstract.

Main Text

The body of the manuscript should be organized into the following sections:

  • Introduction: Provide context for the research, state the problem, review existing literature, and outline the objectives and contributions of the paper.
  • Related Work: Discuss relevant studies and current advancements in intelligent retrieval systems and related technologies.
  • Methodology: Describe the approaches, techniques, datasets, and algorithms used in the study. Ensure enough detail is provided for reproducibility.
  • Results: Present your findings clearly with the use of tables, charts, or graphs. Include relevant statistical analysis.
  • Discussion: Analyze and interpret the results, compare them with existing studies, and discuss implications for retrieval systems.
  • Conclusion: Summarize the main findings, their potential impact, and suggest directions for future research.

Figures and Tables

  • Figures and tables must be numbered consecutively (e.g., Figure 1, Table 1).
  • Each figure and table must have a clear, descriptive title and caption.
  • Figures should be high resolution (at least 300 dpi) and submitted in standard formats (.jpg, .png, .tiff).
  • Tables should be self-contained and include units of measurement.

References

  • References should be formatted according to the journal’s style (e.g., IEEE, APA, or Chicago style).
  • Ensure all references are up-to-date and correctly cited both in the text and in the reference list.
  • Ensure that the reference list includes journal articles, conference papers, books, and other reliable sources.
  1. Submission Process

Manuscripts must be submitted electronically through the journal’s online submission system. Authors will need to create an account to submit their manuscripts. During submission, authors will be asked to provide the following:

  • Conflict of Interest Disclosure: A statement regarding any potential conflicts of interest.
  • Ethical Considerations: If the research involves human subjects or animal studies, authors must provide a statement regarding ethical approval.
  • Data Availability: Authors should indicate whether the data supporting the findings of their study is publicly available or if it can be accessed upon request.
  1. Ethical Guidelines
  • Plagiarism: Manuscripts must be original and free from plagiarism. The journal uses plagiarism detection tools to check the originality of all submissions.
  • Data Integrity: Authors must ensure that all data presented in the manuscript is accurate, reliable, and reproducible. Any form of data falsification will result in immediate rejection.
  • Human and Animal Rights: Studies involving human participants or animals must adhere to ethical guidelines and authors must provide ethical approval statements and informed consent when applicable.
  • Conflict of Interest: Authors are required to disclose any financial or personal relationships that could influence the results or interpretation of the manuscript.
  1. Copyright and Licensing

Upon acceptance, authors will be required to transfer the copyright of their article to the publisher. Intelligent Retrieval follows an Open Access policy, meaning all articles are freely available to readers worldwide immediately upon publication. Articles are published under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license, which permits others to remix, adapt, and build upon the work as long as proper credit is given, and the use is non-commercial.

  1. Additional Information
  • Authors are responsible for ensuring that their manuscript adheres to the journal’s formatting and submission guidelines.
  • Manuscripts that do not conform to these guidelines may be returned to the authors for revision before being sent for review.
  • The editorial team reserves the right to edit and format articles as needed for clarity, style, and consistency.
  • For any questions or assistance regarding manuscript submission, please contact the editorial office at [email address].
  1. Submission Checklist

Before submitting your manuscript, please ensure:

  • The manuscript is formatted according to the journal's guidelines.
  • All co-authors have approved the manuscript.
  • All figures and tables are included and formatted according to the journal's requirements.
  • The references are complete and in the correct style.
  • Ethical approval, conflict of interest, and data availability statements are included.

We look forward to receiving your manuscript and thank you for contributing to the advancement of intelligent retrieval research.