IBM Data and AI Ideas Portal for Customers

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This portal is to open public enhancement requests against products and services offered by the IBM Data & AI organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).

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We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:

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Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,

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Specific links you will want to bookmark for future use

Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.

I BM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.

ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.

IBM Employees should enter Ideas at https://ideas.ibm.com

Relevancy Training for End Users

See this idea on ideas.ibm.com

Currently WDS only accepts one relevancy training rating per query, meaning if a user rates a particular answer and some time later, they rate it again, their earlier rating gets overwritten. This works for an operating model where only one person or group, e.g. an SME or data scientist manages the training of WDS, but it means that we can't allow users to do the training themselves as each person would be overwriting someone elses training.

To account for this, I suggest a mode in WDS that allows relevancy training to be weighted so that each additional rating can either incrementally increase or decrease the value of the rating applied.

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