Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Fay, F.; Praveenraj, D. David Winster; Muhamedale, Hasssan; Subramani, K.; Anita Sofia Liz, D.R.; Nithya, J. Title A name given to the resource Enhancing Personalization in Search Engines Through Behavioral Profiling Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Indian Journal of Information Sources and Services;Volume;15;Issue;4;pp.192-200 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.51983/ijiss-2025.IJISS.15.4.22" target="_blank" rel="noreferrer noopener">https://doi.org/10.51983/ijiss-2025.IJISS.15.4.22</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105026252765?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105026252765?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Fay F., College of Engineering Technique, Al-Farahidi University, Baghdad, Iraq; Praveenraj D.D.W., School of Business and Management, Christ University, Bangalore, India; Muhamedale H., Department of Computers Techniques Engineering, College of Technical Engineering, Islamic University of Najaf, Najaf, Iraq, Department of Computers Techniques Engineering, College of Technical Engineering, Islamic University of Najaf of Al Diwaniyah, Al Diwaniyah, Iraq; Subramani K., Department of Operations, Vignana Jyothi Institute of Management, Hyderabad, India; Anita Sofia Liz D.R., Department of CSE, New Prince Shri Bhavani College of Engineering and Technology, Tamil Nadu, Chennai, India; Nithya J., Department of Information Technology, K.S. Rangasamy College of Technology, Tamil Nadu, Tiruchengode, India Description An account of the resource With the development of search engines, people demand more contextual, relevant, and important results according to their needs and preferences. The current paper will examine the enhancement of search engine personalization through behavioral profiling, which involves capturing user interaction data, such as search histories, clicks, and other similar data, to understand user interests and intentions. The behavioral profiling promotes the ability to adjust the results to the requirements of mutual changes in user behavior and apply machine learning algorithms and advanced data mining techniques. We describe the key aspects of the successful behavioral profiling systems, such as user modeling, data collection frameworks, and privacy boundaries of the data protection. The paper will address the points mentioned by providing behavioral profiling to enhance user satisfaction and effective search and engagement. It will discuss the predictive relevance ranking's triple impacts on socioeconomic gains: time, energy costs, and attention time. We also discuss the ethical issues of user data collection, and the invitation implies achieving the appropriate compromise between individualization and privacy. By the case studies and comparisons, we affirm that the behavioral personalization greatly improves the accuracy of the search when the methods are either static or generic. This study enhances the design of a smart, convenient search engine by cultivating actionable, individual-sensitive recency search. It aims to smoothly aid personalized interactions in real time, inspiring advancement in context-sensitive retrieval systems. The Research Publication,. Subject The topic of the resource Behavioral Profiling; Information Retrieval; Machine Learning; Personalization; Search Engines; User Behavior; User Modeling Publisher An entity responsible for making the resource available The Research Publication Relation A related resource ISSN: 22316094; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Format The file format, physical medium, or dimensions of the resource online