100 likes | 214 Vues
hikeAday is a modern website designed to help outdoor enthusiasts find the best hiking trails for a day trip from their location. By utilizing over 10 APIs and incorporating advanced web mining capabilities, hikeAday offers tailored recommendations that outperform traditional platforms like Yelp, Google Maps, and localhikes.com. Our business model includes revenue through Google AdSense, ad space leasing, and affiliate partnerships with eBay and Amazon. Future functionality improvements will enhance user experience with route planning, lodging searches, and social media integration.
E N D
hikeAday: Web Mining Final Demo Yu-Jean Chen Hanhan Wu Eric Chen Joseph Yu
Introduction • What is hikeAday? hikeAdayhelps you find the best hiking trails, a day’s trip from your location
Project Overview • Objectives • Create a modern Web 2.0 website with practical business application • Utilize 10+ APIs • Incorporate web mining capability • Business Component • Technology Considerations
Competitor Analysis • Our Main Competitors • Yelp! • Google Maps • localhikes.com • Aside from localhikes.com, Yelp! and Google Maps not tailored for hiking enthusiasts • hikeAday has potential to capture untapped market
Business Model • Revenue sources? • Google AdSense • Use Google’s service to display ads on website • Leasing banner ad-space • Similar to AdSense, lease space on webpages for advertising • Affiliate program with eBay and Amazon • Affiliation with eBay and Amazon will bring in traffic and revenue
Functionality Improvements Version 2 • Find best route to trails • Online Shop • Search for lodging • Browse shared photos, videos and social media • Recommendation • Version 1 • Find trails near user’s location • Weather Forecast • Google Translator • Facebook Share
Web Mining Component • Unclear user input gets scientific advice • Spidering and Parsing for data collection • Jaccard function measures similarity • Data structures & JSP+Servlet
APIs and System Structure MS SQL Server 2008 Website Amazon EC2
Technologies Used • Hosted on Amazon EC2 Cloud • Programming Languages • HTML • Javascript • JSP • PHP • Development Software • Dreamweaver CS 5.5 • Eclipse IDE with Tomcat Server • WAMP
Peer Contributions • Yu-Jean Chen: Front-End, Amazon EC2 setup, PowerPoint (Demo 1) • Joseph Yu: Front-end, server connectivity, PowerPoint (Demo 2), paper • Hanhan Wu: Backend, APIs, data mining • Eric Chen: Backend, APIs, server connectivity