Real estate advertising

Starting point

• Real estate portal receives geolocalized real estate offers from realtors at various detail levels
• Users cannot search through ads according to all desired criteria

Objectives

• Based on geolocalized data, additional, user relevant information is to be derived
• Real estate offered to be enriched with additional information on the environment of the properties
• Homogenization of the attributes of all ads, ensuring a consistent user experience

Course of action

• Evaluation of possible additional information
• Distance to the nearest school
• Doctors in the locality
• Use of open data from Open Street Map
• Implementation: fast and scalable geo-search with Apache Solr
• Integration in process for acceptance of the ads

Results and benefits

• Better service for portal users thanks to more comprehensive, semantic search possibilities
• The ability to call up information on the environment of the properties increases the quality of the ads
• Better client journey for users finding suitable properties
• Reduced effort for portal operators through the automated integration of additional information