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Setting | Description | Role | ||||||
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Name | Enter a name for the strategy. | Required | ||||||
ID | The Control Panel automatically generates a unique ID for the strategy based on the name. You can edit the ID when you create a new strategy, but only until you save the strategy for the first time. Once you save the strategy, the ID becomes non-editable. | Required | ||||||
Description | Enter a description for the strategy. You can use the description to, for example, explain what sort of recommendation the strategy generates. | Optional | ||||||
| Select the type of page on which the recommendation is displayed. The page type determines the available algorithms. The available page types are:
| Required | ||||||
| Define the items that are always included ("fixed") in the recommendation. You must at minimum define either one algorithm or one fixed item for the strategy. If a fixed item also appears in the results generated by an algorithm, the platform automatically removes the duplicate from the final set of items returned by the strategy. Adding a fixed itemTo add a fixed item:
Editing a fixed itemYou can change the ID selected item and slot number of a fixed item. Removing a fixed itemTo remove a fixed item, click X for click ✕ for the item. | Optional | ||||||
| Select the algorithms for the strategy. The algorithms together determine the dynamically generated set of items returned by the strategy. You can further refine the set by applying filters and affinity. You must at minimum define either one algorithm or one fixed item for the strategy. You can select a maximum of five algorithms. A new strategy includes a single preselected algorithm, which you can change. How algorithms workThe platform runs each algorithm separately against the same source usage data and combines the results from the algorithms in the order in which the algorithms are selected. For example, if you have Bought together with current item - 60 days with 5 items as your first algorithm and Viewed together with current item - 30 days with 3 items as your second algorithm, the strategy returns a total of eight items: the first five items are the top five items from the former algorithm and the remaining three items are the top three items from the latter algorithm. The platform automatically reruns the algorithms at regular time intervals, thereby periodically regenerating the recommendation data returned by the strategy. The platform reruns each algorithm separately based on its regeneration frequency. If you select multiple algorithms with different regeneration frequencies, some parts of the data returned by the strategy will be updated more frequently than other parts. To find out the frequency of an algorithm, see Supported algorithms. Adding an algorithmTo add an algorithm:
Changing an algorithmYou can change the selected algorithm and the maximum number of items returned by the algorithm. Removing an algorithmTo remove an algorithm, click X ✕ for the algorithm. | Optional | ||||||
| Create filters to further refine the set of items returned by the strategy. You can also apply predefined filters available to certain page types The platform applies the filters separately to the full results of each algorithm, removing items based on the filter settings. The platform then picks the top items for each algorithm, and combines the top items and any fixed items into the final set of recommended items returned by the strategy. Adding a filterTo add a filter:
Editing a filterTo edit a filter:
Removing a filterTo remove a filter, click X ✕ for the filter. Limiting the results to the viewed categoryIf the Page type of the strategy is category, and if you only want to return items that belong to the category currently viewed by the visitor, select Only return items whose type matches the viewed category or Only return items whose categories include the viewed category, or both. Your selection depends on whether item data for your site uses the If you select both options, the strategy only returns items that pass both filters. Limiting the results to the viewed item's categoriesIf the Page type of the strategy is product, and if you only want to return items that belong to the same category or categories as the item currently viewed by the visitor, select Only return items whose type is the same as the viewed item's or Only return items whose categories include at least one category to which the viewed item belongs, or both. Your selection depends on whether item data for your site uses the If you select both options, the strategy only returns items that pass both filters. Limiting the results to searched categoriesIf the Page type of the strategy is search, and if you only want to return items that belong to the same category or categories as the items returned by the search, select Only return items whose type matches a searched category or Only return items whose categories include a searched category, or both. Your selection depends on whether item data for your site uses the If you select both options, the strategy only returns items that pass both filters. | Optional | ||||||
| Set the level of visitor affinity applied to the recommendation. The higher the level, the more personalized the set of recommended items is for each individual visitor. The platform applies affinity separately to the full results of each algorithm, after first applying filters to the results. Applying affinity reorders (reranks) the items to a greater or lesser degree depending on the level of affinity selected and how closely a given visitor's affinities match the algorithm results. The possible slider values are:
If a visitor's affinity is not known, the platform does not apply any affinity to the recommendation for that visitor. For more information about affinity and how it works, see Feature: Super- Affinity. | Required |
Figure: Defining the recommendation strategy settings (click to enlarge)
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Setting | Description | Role | |||||||
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Name | Enter a name for the filter. | Required | |||||||
Rules | Create one or more rules that together define the filtering logic for the filter. A rule defines a single comparison operation between an item attribute value and a target value defined by you. The rule is used to include and exclude items from the final recommendation results: any item for which the rule evaluates to true is included, while any item for which the rule evaluates to false is excluded. The comparison is case-insensitive. If you create multiple rules, the platform applies them all, that is, the platform treats the rules as combined with logical AND operators. The platform only returns items for whom all the rules evaluate to true. The filter must include at least one rule. A new filter includes a single empty rule, which you can edit. ExampleIf you wanted to exclude items that cost more than 100 in your site currency, you would filter for items whose price attribute value was less than or equal to 100, which would give you the rule: price is less than or equal to 100 The platform would then evaluate every item in the algorithm results and remove any item for which the rule evaluates to false. The final recommendation results returned by the strategy would thus exclude these items. For example:
For more examples, see Filter examples. Adding a ruleTo add a rule:
Editing a ruleYou can change the attribute, operator, and value of a rule. Removing a ruleTo remove a rule, click X ✕ for the rule. | Required |
Filter examples
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