This project comprises designing and implementing a hybrid recommender system for web–pages which uses data from a social tagging system to recommend interesting items to users. For the initial implementation, the tagging data will come from del.icio.us, the oldest and largest public social bookmarking system. The system will cluster items using a self–organizing maps (SOM) network and will inc...

Due to the outbreak of Covid-19 pandemic, college tours are no longer available, so many students have lost opportunity see their dream school’s campus. To solve this problem, we developed a product called “Virtourgo,” university virtual tour website that uses Google Street View images gathered from web scraper allowing what campuses like even when unavailable during pandemic. The project consi...

Abstract I propose a solution to content removal bias in statistics from web scraped data. Content occurs when data is removed the before scraper able collect it. The based on inverse probability weights, derived parameters of survival function with complex forms censoring. apply this calculation proportion newly built dwellings Luxembourg, and run counterfactual experiment Montecarlo simulatio...