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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