Authentic Hotel Recommendation System

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dc.contributor.author Salman Qurban, 01-134202-060
dc.contributor.author Abdullah Zahoor, 01-134202-005
dc.date.accessioned 2024-07-09T06:28:42Z
dc.date.available 2024-07-09T06:28:42Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17491
dc.description Supervised by Ms. Anum Kaleem en_US
dc.description.abstract The Authentic Hotel Recommendation System is a web-based platform designed to address the challenge of verifying the reliability of hotel reservation information available online. In today’s digital age, travelers rely heavily on online resources to plan their trips, including finding suitable accommodations. However, the abundance of conflicting reviews and varying information across different platforms often leads to uncertainty and frustration for travelers. To alleviate this issue, the Authentic Hotel Recommendation System utilizes web scraping techniques to collect hotel data from diverse online sources and employs sentiment analysis to assess customer reviews. By authenticating hotel details and providing users with reliable information and reputation scores, the system aims to enhance the overall travel experience and empower travelers to make well-informed decisions. This report documents the development process, methodologies employed, and insights gained from building the Authentic Hotel Recommendation System. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries BS(CS);P-02179
dc.subject Authentic en_US
dc.subject Hotel en_US
dc.subject Recommendation System en_US
dc.title Authentic Hotel Recommendation System en_US
dc.type Project Reports en_US


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