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Author: search.filters.author.Senevirathne, CHas files: Yes

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    AI Driven Smart Tourism Platform for Personalized Safe and Sustainable Travel Planning
    (Institute of Electrical and Electronics Engineers Inc., 2025-12-08) Srikanthan, S; Senevirathne, C; Rasarathnam, T; Jayalath, T; Rajendran, K
    Tourism planning remains challenging due to the need for group preference alignment, personalized itinerary generation, and real-time budget control, challenges that are not adequately supported by existing platforms. This paper presents an AI-driven modular framework that integrates three components: a semantic-aware group recommender that uses Sentence-BERT embeddings with a learning-to-rank model to match travelers; a hybrid itinerary planner that fuses content-based filtering, collaborative filtering, and machine-learning-based rating prediction to generate preference-aligned and geographically coherent travel plans and a predictive budgeting system that applies regression-based forecasting with live API data to provide dynamic cost estimation. The platform is developed specifically for the Sri Lankan tourism context, incorporating regional travel behavior patterns and destination characteristics into its models. Experiments indicate strong performance across all modules, including high-quality group matching, accurate itinerary prediction, and a substantial improvement in budget estimation accuracy compared with static baselines. Early user testing further highlights increased satisfaction with itinerary relevance and budget transparency. Overall, the framework demonstrates a scalable and adaptive approach to smart tourism planning, advancing personalization, collaboration, and sustainable travel support.
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    Digital Pathways in Smart Tourism: A Systematic Literature Review on Key Drivers of Travelers' Decision-Making
    (Institute of Electrical and Electronics Engineers Inc., 2025) Karunaratna, D; Senevirathne, C; Fernando, K; Peksha, P; Jayasinghe, P; Samarakkody, T
    This study systematically investigates how digital components including information reliability, accessibility, cost efficiency, virtual reality and mobile adoption influence travelers' preferences in smart tourism. To do this, the study utilizes the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) framework to aggregate evidence from across the globe - showing both regional technology disparities, and a variety of different methodological approaches. In developed countries, technology integration is quite strong while developing regions face constraints of finance and infrastructure. These tech-centric factors are important to traveler decision-making, as indicated by the review; however, greater coverage of understudied regions is needed. The resulting insights provide the basis for targeted and holistic solutions to improve tourism services for the benefit of policymakers, industry practitioners and academics.