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21.
Rank Locations by Cos Similarity to User Profile 𝜈local = (R・vi ) + (P・vj)+ (T・vk) 𝜈user
= ( 𝛚R・vi ) + ( 𝛚 P・vj)+ ( 𝛚 T・vk) Place Review (1-5) Travel Fairness (0-100%)Price Range (0-4) Rank = 𝜈local ・ 𝜈user
22.
Meet You Where? I travel 10 min They travel 10 min 1. Calculate the mid-point based upon projected real time traffic data or public transit delays (google)
23.
Meet You Where? I travel 10 min They travel 10 min 1. Calculate the mid-point based upon projected real time traffic data or public transit delays (google)
24.
Meet You Where? I travel 10 min They travel 10 min 1. Calculate the mid-point based upon projected real time traffic data or public transit delays (google)
25.
Meet You Where? I travel 10 min They travel 10 min 1. Calculate the mid-point based upon projected real time traffic data or public transit delays (google)
26.
Meet You Where? 1. Search the vicinity of the mid-point for establishments matching the user query (google places API)
27.
Meet You Where? The Best One! … But what's important? Review? Price? Distance? Some combination?
28.
Behind the scenes Ranked Locations 1. Ray's Pizza 2. World-Famous Original Ray's Pizza 3. Ray's
Original Pizza 4. Famous Ray's Pizza User Selection Search Location User, Review, Price, Travel Fairness Ratio Cosine Similarity User Preferences Traffic Data Calculate Midpoint
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