An intelligent location recommender system utilising multi-agent induced cognitive behavioural model. Issue 10 (26th November 2021)

• Record Type: Journal Article
• Authors: Ravi, Logesh; Devarajan, Malathi; V, Vijayakumar; Sangaiah, Arun Kumar; Wang, Lipo; A, Sasikumar; Subramaniyaswamy, V
• Is Part Of: Enterprise information systems. Volume 15:Issue 10(2021)
• Page Start: 1376
• Page End: 1394
• Publication Date: 2021-11-26
• Subjects: Cognitive model -- collaborative Filtering -- computational Intelligence -- multi-Agent Systems -- recommender Systems -- user behaviour; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2020.1812003
• Languages: English
• ISSNs: 1751-7575

Abstract

ABSTRACT: In recent times, location recommendation has received significant attention from the researchers due to emerging utilisation of Location Based Social Networks in the prediction process. In this paper, we present a new multi-agent based framework to generate better-personalised location recommendations. We address the personalisation problem through the dynamic user profile that incorporates the user's long-term and short-term cognitive behaviour. The better adaptation of user cognitive behaviour enhances the prediction process and improves overall user experience with better recommendations. A detailed user study is conducted to reveal the improved performance of proposed approach through enhanced recommendations in comparison with other approaches.