events 1. 2. 3. 4. 5. 6. Check news News about home area Commute Avoid congested times Eat Book a restaurant nearby Chat Share location with friends Search Search nearby local info Shop Get coupons for your usual stores
Analysis / Applications Over 1 billion reports / day Refresh every day (small data size) Hadoop Hadoop Report Latitude, Longitude Location Data (with Anonymized ID) Anonymized ID – User ID Mapping Location Deletion Request Delete User Mapping
by analyzing user's location Estimation Rail Line Shape User Location 11,001 Stations & 616 Lines Inter-Station Graph Connecting stations User Commuting Rail Line A Mita Line B Yamanote Line C Odakyu Line D Keio Line E Oedo Line
the city center changes drastically depending on the time of day The population density in the city center is high in the daytime, and the population density in the suburbs is high at night.
real-time MASTER CODE CIRCLE POLYGON INTERSECTION GEO HASH (Level 8) / User Profiling (Home / Work) GEO HASH (Level 7) CIRCLE POLYGON UNION CIRCLE HOLE
notify as quickly as possible Delivery in under 1min done using only existing infra Elapsed Seconds Users Count User / Sec Area Categories 22.5 sec 14M 612K Tokyo, Kanagawa, Chiba, Saitama, Shizuoka Home 40 sec 18M 437K Last 59 sec 22M 371K Last, Home, Work
a target audience who live in or visited some place by administrative area or radius. CMS for Performance Display Ads 100M~150M daily ad impressions using geo targeting in JP - 15~20% of total ad impressions More advertisers using geo targeting since the release of radius targeting
store Name Lawson Shiba Koen 4 Cho-me Address Tokyo, Minato-ku, Shiba Koen 4-X-X Tel 03-XXXX-YYYY Coordinates Latitude, Longitude Convenience Store Category Tourist facilities Name Tokyo Tower Address Tokyo, Minato-ku, Shiba Koen 4-X-X Tel 03-XXXX-YYYY Coordinates Latitude, Longitude Tokyo Tower POI (Point of Interest) For example, landmarks and shops that exists in coordinates are converted into data in order to give meaning to specific coordinates on the map. POI DB (6 Million POIs) Example POI Data
of POI and User location Restaurant POI Retail POI Merchant POI POI POI Contents User Location Coupon Flyer Review Demography Service managed POI are integrated into LINE POI DB Example use cases • Deliver nearby store content • Estimate how frequently POI are visited Service managed content is also integrated into LINE POI DB
10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 Hourly average for the past few weeks Current real-time number of users Compare traffic by time to avoid busy hours Compare traffic by past average traffic and current traffic
Behavior Geography Gender Age Income Occupation Nationality Urbanicity Average household income Language Climate Culture Location of home, work Book / Review restaurant Pay at store Online action