Release Summary - Sep 2022
The following key features and improvements have been released in the Algonomy products during the month of September 2022.
Data Engineering
Dynamic Experience Traffic Distribution and Assignment to Reflect MVT
Traffic distribution and assignment in Dynamic Experience variations will now happen based on the % defined for each variation and the user will be consistently part of the same variation. Earlier, Dynamic Experience traffic % distribution was inconsistent.
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Mapping New Strategies to Specific Recommendation Types
The optimization manager will now be able to add strategies to the recommendation types mapping such as Discover, Similar, Cross-sell, Navigation., and Sort to evaluate how the recommendation types are performing. The mapping of strategy and recommendation types can be viewed using an API and displayed on the portal.
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Add ‘Region Name’ in Placement Report API response
Added Region Name as part of Placement Report API response along with Region Id so that it is meaningful. Earlier Internal Algonomy Region Id was shared.
Enterprise Dashboard
Content Cataloq not to Display Expired Content
Content catalog is available to the user in two places – Content page and Individual campaign page. With this release, by default the expired content will not be displayed on the above Content and Campaign pages.for all the categories.
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Edit Campaign Side Editor to Update Campaign Details
Introduced a side bar that allows users to update the name and start and end dates of a campaign.
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Enabled ATC Rate Metrics in Find Search Terms Report in the Dashboard
Enabled the search terms performance for Add to Cart (ATC) rate as table and graph visualizations on Dashboard to better understand which searched keywords provide maximum ATC rate. User can now select ATC Rate from the metrics. On selection of the metric, user can view the graph visualization between the top products and ATC Rate with products sorted by number of queries.
Find
Implemented Gaussian Anomaly Rejection for Autocomplete Terms for Top Trends
In this release implemented Gaussian Anomaly Rejection, if a million search term requests are sent with the same search term, it causes the scale for calculating search terms to be very high for one term and thus the other search terms fall outside the search scale’s range to return top trends search terms.
The anomaly detection detects the number of requests for a search term and if it is higher than the normal then it is considered as outside the calculated normal and adjusts the scale for calculation to accommodate other search terms for calculating top trends.
