An intelligent location recommender system utilising multi-agent induced cognitive behavioural model. Issue 10 (26th November 2021)
- Record Type:
- Journal Article
- Title:
- An intelligent location recommender system utilising multi-agent induced cognitive behavioural model. Issue 10 (26th November 2021)
- Main Title:
- An intelligent location recommender system utilising multi-agent induced cognitive behavioural model
- Authors:
- Ravi, Logesh
Devarajan, Malathi
V, Vijayakumar
Sangaiah, Arun Kumar
Wang, Lipo
A, Sasikumar
Subramaniyaswamy, V - 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.
- Is Part Of:
- Enterprise information systems. Volume 15:Issue 10(2021)
- Journal:
- Enterprise information systems
- Issue:
- Volume 15:Issue 10(2021)
- Issue Display:
- Volume 15, Issue 10 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 10
- Issue Sort Value:
- 2021-0015-0010-0000
- 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 - Journal URLs:
- http://www.tandfonline.com/toc/teis20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/17517575.2020.1812003 ↗
- Languages:
- English
- ISSNs:
- 1751-7575
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3790.568160
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20532.xml