Microsoft

Recommendations API

Previous Recommendations customers should migrate to the Recommendations Solution Template.

Start by following the Getting Started Guide ( https://github.com/Microsoft/Product-Recommendations/blob/master/getting-started.md ). It explains step-by-step how to deploy the template and create a model on it.

  1. API to update the Usage File

    There is a provision to update catalog file but not for usage file. I have to upload my usage file again and again to update it which is very time consuming. An API should be provided to update usage files as it is an important functionality for someone using Recommendations in his/her application

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  2. Add rating recommendation for a single user-item pair

    I can see ' Ranking ' build type in a sample but it seems to not be fully implemented yet. I would like to know a ranking for a user-item pair.

    For example, taking into account historical data, I would like to know that particular content is recommended to the exact user with a ranking X (like 0.72). Additionally this could be executed also in a batch proces for a list of provided items. I'm note sure if the last proposition is already feasible with user recommendations and 'itemIds' parameter ?

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  3. Please accept custom events in usage file

    I have a lot of users behaviours being logged in the system which should be sagnificant for ML model shape/algorithm. My application is not about purchasing but still user recommendations functionality applies here. Examples of my custom usages are: preview, wondering (hovering for more than 10 seconds), add as a bookmark, add to the black list, preview gallery etc

    With custom events my model could be much more accurate ( I guess) and I would like to achieve this goal with Recommendation API instead of doing it with ML Studio (which is a great tool but slighly more expensive and…

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  4. product reviews and survey responses to provide Recommendations

    I'd like to be able to receive/comm recommendations based not only on past purchase behavior but also product reviews and survey responses

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Recommendations API

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