ms_usage

Dataset of anonymised transaction records 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_usage function

A data frame with 118383 rows and 3 columns.<dl class="dl-horizontal">
<dt>user</dt><dd>The user ID.</dd>
<dt>item</dt><dd>The item ID, corresponding to the items in the <a rd-options="" href="/link/ms_catalog?package=SAR&version=1.0.3" data-mini-rdoc="SAR::ms_catalog">ms_catalog</a> dataset.</dd>
<dt>time</dt><dd>The date and time of the transaction, in POSIXct format.</dd>
</dl>

Format

Sample usage dataset — ms_usage

A data frame with 118383 rows and 3 columns.<dl class='dl-horizontal'>
<dt>user</dt><dd>The user ID.</dd>
<dt>item</dt><dd>The item ID, corresponding to the items in the <a rd-options='' href='ms_catalog'>ms_catalog</a> dataset.</dd>
<dt>time</dt><dd>The date and time of the transaction, in POSIXct format.</dd>
</dl>

ms_usage: Sample usage dataset

Description

Usage

Arguments

Format

See Also