Add White Paper

[darnjo]

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.