SeanLynch1
commented
1 year ago Hi stephen, this is how I think we should do things, I've listed the information we need below and divided them into different categories
The following categories will be created using this information: Transportation - bus_station, train_station, transit_station Financial Services - banks Personal Care Services - pharmacy, beauty_salons Retail Services - supermarkets Fitness Services - gym Leisure Services - cafes, restaurants, night_club, bars, parks Emergency Services - police, fire_station, hospital
These categories will be attributes in the main fact table linked to properties . Their values will be counts of the nearby services in a determined radius. These values will be then used in our reccomendation sysem along with other attribute information.
If anyone else wants more information to be included, look through the list above. Please note that taking more services is more costly
Hello Team,
Below is a list of the businesses I have extracted location data so far. Kindly indicate if there are any others we expect that our personas might be interested in. bus_station, train_station, transit_station, police, fire_station ,banks, bars, cafes, gyms, hospital, night_club, pharmacy, restaurant and supermarket.
Find the reference to the complete list from Google below to look through. accounting airport amusement_park aquarium art_gallery atm bakery bank bar beauty_salon bicycle_store book_store bowling_alley bus_station cafe campground car_dealer car_rental car_repair car_wash casino cemetery church city_hall clothing_store convenience_store courthouse dentist department_store doctor drugstore electrician electronics_store embassy fire_station florist funeral_home furniture_store gas_station gym hair_care hardware_store hindu_temple home_goods_store hospital insurance_agency jewelry_store laundry lawyer library light_rail_station liquor_store local_government_office locksmith lodging meal_delivery meal_takeaway mosque movie_rental movie_theater moving_company museum night_club painter park parking pet_store pharmacy physiotherapist plumber police post_office primary_school real_estate_agency restaurant roofing_contractor rv_park school secondary_school shoe_store shopping_mall spa stadium storage store subway_station supermarket synagogue taxi_stand tourist_attraction train_station transit_station travel_agency university veterinary_care zoo