Valuations User FeedbackAlgorithms Team

What We Do Extract features from property data (#

beds, # baths, sqft, past sales etc) Use a very complex algorithm to

estimate price using these features Give users the option to register their

feedback

What We Do Extract features from property data (#

beds, # baths, sqft etc) Use a very complex algorithm to

estimate price using these features Give users the option to register

their feedback

Useful Feedback

Useless Junk

Goals Auto correction of the estimate based

on the feedback? Checking for obvious mistakes? Facilitating easy review of the

feedbacks? Discovering new useful features?

Goals Auto correction of the estimate based

on the feedback? No Checking for obvious mistakes? Facilitating easy review of the

feedbacks? Discovering new useful features?

Goals Auto correction of the estimate based

on the feedback? Checking for obvious mistakes? Yes Facilitating easy review of the

feedbacks? Discovering new useful features?

Goals Auto correction of the estimate based

on the feedback? Checking for obvious mistakes? Facilitating easy review of the

feedbacks? Yes Discovering new useful features?

Goals Auto correction of the estimate based

on the feedback? Checking for obvious mistakes? Facilitating easy review of the

feedbacks? Discovering new useful features?

Perhaps

Unsorted Feedbackhttp://analyticsnn2.sv2.trulia.com:8111/feedback-2012-05-21.html

After Sorting

After Sorting

What is the Sorting Based on? How detailed is the replay? How far off are we? Did a registered user submit the

feedback? Normalization/ regularization

Distribution by Geographical Scope

Global Average: 1.2178

Text Clustering Use Apache Mahout to cluster feedback

text Discover terms that most frequently

occur together in feedback texts