Computer Entity-oriented Search Models in the Tourism Sector
Year: 2025
Type: article
Abstract: Entity-oriented search is an advanced type of search engine that moves beyond simple keyword matching to focus on retrieving information about specific tourism entities and their relationships. In the tourism sector, these entities are foundational and include hotels, attractions, cities, airports, airlines, and events. The core objective of this search approach is to extract precise, structured information about these tourism entities and their interconnections from diverse sources such as databases, travel-related web texts, and social media. These search models are designed to provide users with comprehensive, structured results. This allows potential tourists to find detailed answers to complex queries, such as: "Which five-star hotels near the Burj Khalifa allow pets?" Entity-oriented search engines rely on sophisticated techniques like Knowledge Graphs, semantic technologies, and machine learning algorithms to deeply understand the meaning of travel-related user queries. This ensures the delivery of highly accurate and personalized results, significantly enriching the experience of searching for trips and holidays.
Authors: Naglaa Saeed Shehata, Asmaa Ibrahim ELhanfy
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7103879939
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