Abstract:
Online travel and ticket buying is a fast-growing sales channel. It helps customers book flights, hotels, vacations, insurance, and more online. Many travel and ticket booking websites are among the top E-Commerce industries. Read more: Travel Together – A Travel Buddy Finder System
These E-Commerce websites offer more services including booking flights, hotels, tickets, restaurants, and career packages. These websites use Javascript, AJAX, XML, B2B Web services, Caching, Search Algorithms, and Affiliation, creating a rich and diversified workload. Travel sites attract users based on season, promotions, and events. Read more: Opinion Mining For Hotel Rating Through Reviews
Any travel site’s traffic will increase as users increase, which will raise server strain and diminish response time, resulting in poor customer service. Thus, understanding how users and crawlers interact on travel sites and how they affect server resources is crucial for cost-effective infrastructure and user QoS. Read more: Hotel Recommendation System Based on Hybrid Recommendation Model
We offer a technique to improve user experience and balance server load to boost online tour and travel site sales. Our suggested system would consider HTTP data, request resource consumption, and server load status during execution. Read more: PHP Projects Topics and Ideas
System characterizes user sessions, trends from dataset, and how web server load affects response time. The system also considers user session length, which can vary. Results like these can optimize infrastructure costs and improve user experience. Read more: Customer Behaviour Prediction Using Web Usage Mining
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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