International Journal of Scientific Research and Engineering Development

Society is currently undergoing immense transformations, and the tourism industry has increasingly shifted toward niche markets that prioritize personal connection, cultural sustainability, and emotional resonance. Among these, ancestry tourism has emerged as a significant sector where travelers seek to explore their genealogical roots and cultural heritage. Simultaneously, the shared economy has established itself as an alternative to traditional mass tourism, relying on cooperative business models that foster local engagement and resource sharing. This paper explores the intersection of ancestry tourism and the cooperative tourism sector, proposing a novel, data-driven framework that integrates artificial intelligence, semantic web technologies, and sequential pattern mining. By leveraging localized host networks, this framework aims to optimize the delivery of highly personalized heritage experiences while preserving the well-being of cooperative workers. We present a hypothetical evaluation plan to demonstrate how Large Language Models (LLMs) and location-based data can be synthesized to measure service quality and tourist satisfaction in this unique domain. Ultimately, this research bridges the gap between genealogical exploration and sustainable, cooperative tourism management.

Dr.Muhammed Anas .B, Dr.Sajimon PP, Dr.N.Subbu Krishna Sastry, Dr.V Basil Hans, Dr.Sini.V,"A Structure for Ancestry Tourism and the Effects of Cooperative Tourism within the Hotel and Resort Industry, Utilizing a Data-Driven Method for Inclusive Heritage and Sustainable Travel" International Journal of Scientific Research and Engineering Development, V9(3): Page(875-883) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.