ms_catalog

Dataset of item descriptions from the Microsoft online store.

datasets

'Smart Adaptive Recommendations' (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions and item descriptions. It produces easily explainable/interpretable recommendations and handles "cold item" and "semi-cold user" scenarios. This package provides two implementations of 'SAR': a standalone implementation, and an interface to a web service in Microsoft's 'Azure' cloud: <https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md>. The former allows fast and easy experimentation, and the latter provides robust scalability and extra features for production use.

Hong Ooi

Smart Adaptive Recommendations

Microsoft Product Recommendations team 

Microsoft 

ms_catalog function

A data frame with 101 rows and 3 columns.<dl class="dl-horizontal">
<dt>item</dt><dd>The item ID, corresponding to the items in the <a rd-options="" href="/link/ms_usage?package=SAR&version=1.0.3" data-mini-rdoc="SAR::ms_usage">ms_usage</a> dataset.</dd>
<dt>name</dt><dd>A short description of the item.</dd>
<dt>category</dt><dd>The item category.</dd>
</dl>

Format

Sample catalog dataset — ms_catalog

A data frame with 101 rows and 3 columns.<dl class='dl-horizontal'>
<dt>item</dt><dd>The item ID, corresponding to the items in the <a rd-options='' href='ms_usage'>ms_usage</a> dataset.</dd>
<dt>name</dt><dd>A short description of the item.</dd>
<dt>category</dt><dd>The item category.</dd>
</dl>

ms_catalog: Sample catalog dataset

Description

Usage

Arguments

Format

See Also