An intelligent location recommender system utilising multi-agent induced cognitive behavioural model

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.

KEYWORDS:

• Cognitive model
• collaborative Filtering
• computational Intelligence
• multi-Agent Systems
• recommender Systems
• user behaviour

Acknowledgements

The authors gratefully acknowledge the Science and Engineering Research Board (SERB), Department of Science & Technology, India for the financial support through Mathematical Research Impact Centric Support (MATRICS) scheme (MTR/2019/000542). The authors also acknowledge SASTRA Deemed University, Thanjavur for extending infrastructural support to carry out this research work.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Science and Engineering Research Board [MTR/2019/000542].