You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The ULI Pilot R&D process will produce a white paper containing the following information:
Business and Outreach
Concise outline of the problem being solved with a brief statement of impact and a couple examples where it surfaces, e.g. across state boundaries, data shares with other markets.
More formal outline of business needs.
Current alternatives to the ULI methodology outlined in the white paper, their benefits and potential downsides.
Why are we working on this problem?
Statements from Pilot participants conveying their experience using the pilot ULI Service so far.
Issues to Address
Privacy: How is your member data handled, do others see it, and how do we link markets together?
Why is it important to work across borders?
How will this solve the problem?
Matching Algorithm
Collaborative Filtering
Technical
Outline of the methodology. How are we doing things differently? 1) Insight: it's a search and matching problem rather than normal data model or transport standards. Describe the search methodology and how it addresses the issues. 2) Novel approach: crowd-sourced, cooperative data scrubber with human review supplemented by probabilistic, consensus based ranking using open source algorithms. The ability to adjust weights based on success and error rates and analytics provides a feedback loop to continue to improve the results over time.
Reproducible results to back up our claims that it's a viable solution. This has been tested on M markets with L licensees, and we were able to match with an average score of S, with error rate E.
Potential next steps to put it into production. Benefits from shared (neutral) aggregate pool. Make a nice diagram, etc. Rough estimate of resources required to do so.
Additional opportunities: same methodology can be used to help de-duplicate listings into their underlying property records. Or anything that has a collection of weighted fields that can be scored and matched against using this approach.
The text was updated successfully, but these errors were encountered:
The ULI Pilot R&D process will produce a white paper containing the following information:
Business and Outreach
Technical
The text was updated successfully, but these errors were encountered: