Specify the consequences to determine what actions are applied to recommendations when the conditions are met. If multiple recommendation rules are triggered at the same time for the same attribute and the attribute is not a multi-select menu attribute, a single recommendation rule sets the value of the attribute. The recommendation rules are sorted according to the following criteria (in order): Keep the tone of the letter positive and avoid unnecessary doubts to make the letter more sincere, such as the use of «although» or «although good». For example, the sentence «Although the applicant arrived in Area A with very little research experience, his experience in Area B changed our research» to «This applicant`s expertise in Area B changed our research orientation in Area A in the following ways. Don`t use ambiguous language like «I guess. » or statements that lack specificity. Honesty is essential in a letter of recommendation, so compensate for any potentially perceived weaknesses with positivity and/or stories about how to overcome academic or scientific challenges. The source of the product in the rule settings determines whether to apply or replace the rule to custom algorithms. For most campaigns, keep the default source, which generates recommendations based on the custom policy configured in the Episerver backend, and then filters them using recommendation rules in the merchandising campaignPersonalization: Describes the rules for displaying recommendations. By writing a letter of recommendation, you are committing to helping your colleague or intern. Presumably, you will spend time creating this letter because you want the candidate to be selected and you believe that the applicant deserves what they are asking for. So don`t forget to express this enthusiasm in your letter when describing both the candidate`s work and their future prospects. This is not the time to show humility, perhaps with statements such as «The candidate has conducted groundbreaking research in the laboratory and I look forward to his future studies» or «The candidate is an outstanding young scientist with an outstanding academic future as an independent researcher and scientific leader».
Other useful formulations for the recommendations are listed here [20]. For each text, float, or integer attribute for which the multi-select menu is selected as the attribute type, it is possible for multiple recommendation rules to fire simultaneously and be applied to different selections within the same attribute. For example, contexts act as additional constraints on rules. Common use cases for policy contexts include distinguishing users by device type, language setting, or country. For an example of setting a context, see Identifying the User Device. Administrators can use the Bulk Table Search action type in a recommendation rule to set the value of any Configuration attribute that a template has access to. Administrators can use the Bulk Table Search action type in a recommendation rule to set the value of any Configuration attribute that a template has access to. For example, if a layout contains a product family attribute, a product line attribute, and a template attribute, a recommendation rule based on bulk table search can define all attribute values at the product family, product line, or model level. You can apply up to 10,000 rules per recommendation scenario. When recommendations are triggered, buyers see them on the Model Configuration page.
By default, recommendations appear as text next to configuration attributes with recommended values. They also use set types that, when enabled, can automatically populate recommended values in attribute fields. Starting with Oracle CPQ 21B, administrators can enable AJAX for configuration recommendation rules that contain array attributes for conditions or rule actions. Previously, recommendation rules with array attribute specifications were evaluated only when the attributes were set to the automatic update or when a user clicked the update action. Rules have conditions and consequences. If condition (if) is met, the consequence (then) is applied to the recommendation scenario. Having been on both the give-and-take and receiving side of the reference letter, we can confidently say that the applicant has the power to contribute significantly to the strength of his or her own letter [21]. As a candidate, ask for a letter at least a month in advance to give your referee time to write a strong letter. Make an appointment with your referring judge and discuss the content of the letter, in particular why you chose your referring judge and what you want them to address in the letter of recommendation. Give your referee all the information you need to write a strong letter.
This includes an updated biography or resume, detailed instructions, and a personal statement that addresses your academic and professional goals. If the letter is to be sent, provide an envelope and postage. Finally, send a friendly reminder to your referees as the deadline approaches. Then send a thank you to your referees and tell them how it went. Use the Assign Mass Recommendation tab to dynamically select the attribute for which the recommendation rule sets a value. The tab displays four read-only properties used to reference the bulk recommendation data table. Administrators select a property source and value for each property. In our apps, we make recommendations to help you discover new communities and content that we think may be of interest to you.