Valuations User

FeedbackAlgorithms Team

Valuation Estimates

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, past sales etc)

Use a very complex algorithm to estimate

price using these features

Give users the option to register their

feedback

User 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 (in progress)

Use Apache Mahout to cluster feedback

text

Discover terms that most frequently occur

together in feedback texts

Thank you!