Changes for page Product recommendations for personalized mailings and website
From version 1.2
edited by Andrej Rylov
on 2025/10/22 07:36
on 2025/10/22 07:36
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To version 4.1
edited by Andrej Rylov
on 2025/10/22 10:39
on 2025/10/22 10:39
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Upload new image "Recommendations_01.png", version 1.1
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... ... @@ -34,7 +34,7 @@ 34 34 35 35 (% class="box warningmessage" %) 36 36 ((( 37 -* To use these algorithms in **Product Recommendations** macros within [[Smart Communications>>doc:Main.Us ing.Smart_Communications.WebHome]], please contact Loymax specialists.37 +* To use these algorithms in **Product Recommendations** macros within [[Smart Communications>>doc:Main.Usage.Smart_Communications.WebHome]], please contact Loymax specialists. 38 38 * The Product Recommendations module is an optional, separately licensed feature available on a paid basis. 39 39 ))) 40 40 ... ... @@ -42,12 +42,12 @@ 42 42 43 43 Data sources for receipts, customers, and products from the product catalog used to generate product recommendations include the **DWH BI** data warehouse and/or the **ClickHouse SmartCom** database management system. This data is transferred to the **Loymax AI** module, where it is processed and product recommendations are calculated using ML algorithms. The resulting recommendations are then delivered via API to **data marts**. The **API-proxy server** validates incoming requests and formats responses for Smart Communications. **Smart Communications** retrieves responses from the **API-proxy server**, enriches them with data (images, product names, links, prices, etc.), inserts them into predefined templates, and sends mass messagings containing the generated product recommendations to customers. 44 44 45 -|(% style="border-color:#ffffff; text-align:center" %){{lightbox image=" Scheme_module_interaction.png" width="1200"/}}45 +|(% style="border-color:#ffffff; text-align:center" %){{lightbox image="product_recommendations_overview.png" width="1200"/}} 46 46 47 47 Currently, 5 algorithms are available for generating product recommendations: 48 48 49 49 (% class="table-bordered table-sticky" %) 50 -(% class="info" %)|(% style="text-align:center; width:58px" %)**No.**|(% style="text-align:center; width:409px" %)**Name**|(% style="text-align:center; width:495px" %)**Metavariable/macro for use in [[Smart Communications campaigns>>doc:Main.Us ing.Smart_Communications.Mass_mailings.WebHome]]**|(% style="text-align:center; width:477px" %)**Example of macro output in final message (shown for email)**50 +(% class="info" %)|(% style="text-align:center; width:58px" %)**No.**|(% style="text-align:center; width:409px" %)**Name**|(% style="text-align:center; width:495px" %)**Metavariable/macro for use in [[Smart Communications campaigns>>doc:Main.Usage.Smart_Communications.Mass_messaging.WebHome]]**|(% style="text-align:center; width:477px" %)**Example of macro output in final message (shown for email)** 51 51 |(% style="width:58px" %)1.|(% style="width:409px" %)**[[Popular Products>>doc:||anchor="01"]]**|(% style="width:495px" %){% set clientRecommendation = client.recommendations('**Popular**') %} 52 52 {% for recommendation in clientRecommendation~|get(3) %} 53 53 <br>~{~{recommendation.name}} ... ... @@ -86,7 +86,7 @@ 86 86 **Notes:** 87 87 88 88 1. Since the product recommendation macro operates on a list of recommendations, specific items are inserted into the message body using the control structures shown in the table above. See an example of the **Product Recommendations** module control structure [[here>>doc:.Control_structure.WebHome]]. 89 -1. API methods for integration into client-facing services ([[Mobile Application>>doc:Main.General_information.Additional_services.Mobile_app lication.WebHome]], [[Personal Account>>doc:Main.General_information.Additional_services.Personal_account.WebHome]]) are provided upon separate request to Loymax staff.89 +1. API methods for integration into client-facing services ([[Mobile Application>>doc:Main.General_information.Additional_services.Mobile_app.WebHome]], [[Personal Account>>doc:Main.General_information.Additional_services.Personal_account.WebHome]]) are provided upon separate request to Loymax staff. 90 90 ))) 91 91 92 92 Recommendations produced by each algorithm differ because they serve distinct business goals and are based on different models, algorithms, hyperparameters, etc. When selecting a specific algorithm and usage scenario, it’s essential to consider multiple factors: ... ... @@ -119,17 +119,17 @@ 119 119 120 120 (% class="table-bordered" style="width:1218px" %) 121 121 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** 122 -|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not purchased|(% style="width:446px" %)(((122 +|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not purchased|(% style="width:446px" %)((( 123 123 Customer viewed a product page and then left the site. 124 124 125 125 After a defined time interval (t), send an email featuring the most popular products. 126 126 ))) 127 -|(% style="width:399px" %)[[**Abandoned Category View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E44244043A43044243543343E440438438"]]|(% style="width:370px" %)Category viewed but nothing purchased|(% style="width:446px" %)(((127 +|(% style="width:399px" %)[[**Abandoned Category View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E44244043A43044243543343E440438438"]]|(% style="width:370px" %)Category viewed but nothing purchased|(% style="width:446px" %)((( 128 128 Customer browsed a product category and then left the site. 129 129 130 130 After a defined time interval (t), send an email featuring the most popular products. 131 131 ))) 132 -|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)(((132 +|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)((( 133 133 Customer added a product to the cart and then left the site. 134 134 135 135 After a defined time interval (t), send a reminder email about the abandoned cart along with the most popular products. ... ... @@ -139,11 +139,11 @@ 139 139 140 140 (% class="table-bordered" style="width:1218px" %) 141 141 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** 142 -|(% style="width:399px" %)[[**Website Homepage**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143544243843B441430439442"]]|(% style="width:370px" %)Website visit|(% style="width:446px" %)**Popular Products** section.142 +|(% style="width:399px" %)[[**Website Homepage**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143544243843B441430439442"]]|(% style="width:370px" %)Website visit|(% style="width:446px" %)**Popular Products** section. 143 143 Customer is on the homepage. The most popular products are displayed. 144 -|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:370px" %)Product view|(% style="width:446px" %)**Popular Products** section.144 +|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:370px" %)Product view|(% style="width:446px" %)**Popular Products** section. 145 145 Customer is viewing a product. The most popular products are displayed. 146 -|(% style="width:399px" %)[[**Current Category Page View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A44243E43244344E43A43044243543343E44043844EA043D430441430439442435"]]|(% style="width:370px" %)Category view|(% style="width:446px" %)**Popular Products** section.146 +|(% style="width:399px" %)[[**Current Category Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A44243E43244344E43A43044243543343E44043844EA043D430441430439442435"]]|(% style="width:370px" %)Category view|(% style="width:446px" %)**Popular Products** section. 147 147 Customer is browsing a category. The most popular products are displayed. 148 148 149 149 ==== 4. General Concept of the **Popular Products** Algorithm ==== ... ... @@ -173,8 +173,8 @@ 173 173 174 174 (% class="table-bordered" style="width:1218px" %) 175 175 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** 176 -|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not purchased|(% style="width:446px" %)Send an email after X days recommending the most popular products in the same category.177 -|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days recommending the most popular products in the same category.176 +|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not purchased|(% style="width:446px" %)Send an email after X days recommending the most popular products in the same category. 177 +|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days recommending the most popular products in the same category. 178 178 179 179 ==== 3. Use Cases for the **Popular Products in Category** Algorithm in Website Personalization ==== 180 180 ... ... @@ -182,7 +182,7 @@ 182 182 183 183 (% class="table-bordered" style="width:1218px" %) 184 184 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:369px" %)**Trigger**|(% style="text-align:center; width:447px" %)**Use Case** 185 -|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**Compared With This Product** section.185 +|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**Compared With This Product** section. 186 186 Recommend popular products from the same category based on the currently viewed item. 187 187 188 188 ==== 4. General Concept of the Algorithm ==== ... ... @@ -209,14 +209,14 @@ 209 209 210 210 (% class="table-bordered" style="width:1218px" %) 211 211 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** 212 -|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email after X days with alternative products similar to those viewed by the customer.213 -|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days with alternative products similar to those viewed by the customer.212 +|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email after X days with alternative products similar to those viewed by the customer. 213 +|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days with alternative products similar to those viewed by the customer. 214 214 215 215 ==== 3. Use Cases for the **Similar Products** Algorithm in Website Personalization ==== 216 216 217 217 (% class="table-bordered" style="width:1218px" %) 218 218 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:369px" %)**Trigger**|(% style="text-align:center; width:447px" %)**Use Case** 219 -|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**You Might Like** section.219 +|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**You Might Like** section. 220 220 Recommend alternative products similar to the one currently viewed by the customer. 221 221 222 222 ==== 4. General Concept of the Algorithm ==== ... ... @@ -243,17 +243,17 @@ 243 243 244 244 (% class="table-bordered" style="width:1218px" %) 245 245 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** 246 -|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the item viewed by the customer.247 -|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the items in the customer’s cart.248 -|(% style="width:399px" %)[[**Thank You for Your Purchase!**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H42143443543B43043D43743043A430437"]]|(% style="width:370px" %)Customer made a purchase|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the items in the customer’s order.246 +|(% style="width:399px" %)[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the item viewed by the customer. 247 +|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the items in the customer’s cart. 248 +|(% style="width:399px" %)[[**Thank You for Your Purchase!**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H42143443543B43043D43743043A430437"]]|(% style="width:370px" %)Customer made a purchase|(% style="width:446px" %)Send an email after X days with products most frequently bought together with the items in the customer’s order. 249 249 250 250 ==== 3. Use Cases for the **Bought Together** Algorithm in Website Personalization ==== 251 251 252 252 (% class="table-bordered" style="width:1218px" %) 253 253 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:369px" %)**Trigger**|(% style="text-align:center; width:447px" %)**Use Case** 254 -|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**Frequently Bought Together** section.254 +|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product view|(% style="width:447px" %)**Frequently Bought Together** section. 255 255 Recommend complementary products. 256 -|(% style="width:399px" %)[[**Product Added to Cart**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41443E43143043243B43543D44243E43243044043243A43E43D44243543943D435440"]]|(% style="width:369px" %)Product added to cart|(% style="width:447px" %)**Frequently Bought Together** section.256 +|(% style="width:399px" %)[[**Product Added to Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41443E43143043243B43543D44243E43243044043243A43E43D44243543943D435440"]]|(% style="width:369px" %)Product added to cart|(% style="width:447px" %)**Frequently Bought Together** section. 257 257 Recommend complementary products. 258 258 259 259 ==== 4. General Concept of the **Bought Together** Algorithm ==== ... ... @@ -309,27 +309,27 @@ 309 309 (% class="table-bordered" style="width:1218px" %) 310 310 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:370px" %)**Trigger**|(% style="text-align:center; width:446px" %)**Use Case** 311 311 |(% style="width:399px" %)((( 312 -[[**Abandoned View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]]312 +[[**Abandoned View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D44B43943F44043E44143C43E442440"]] 313 313 314 314 315 315 )))|(% style="width:370px" %)Product viewed but not ordered|(% style="width:446px" %)Send an email X hours after viewing. 316 -|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email X days after adding to cart.317 -|(% style="width:399px" %)**Purchase Recommendations**|(% style="width:370px" %)[[Customer made a purchase>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H42143443543B43043D43743043A430437"]]|(% style="width:446px" %)Send an email X days after purchase.316 +|(% style="width:399px" %)[[**Abandoned Cart**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41144043E44843543D43D43044F43A43E44043743843D430"]]|(% style="width:370px" %)Product added to cart but not purchased|(% style="width:446px" %)Send an email X days after adding to cart. 317 +|(% style="width:399px" %)**Purchase Recommendations**|(% style="width:370px" %)[[Customer made a purchase>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H42143443543B43043D43743043A430437"]]|(% style="width:446px" %)Send an email X days after purchase. 318 318 |(% style="width:399px" %)**Declining Purchase Amount**|(% style="width:370px" %)Customer’s purchase amount decreased by X% over a period|(% style="width:446px" %)If purchase amount drops by X%, send an email with personalized product recommendations. 319 -|(% style="width:399px" %)[[**Declining Website Visits**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41F44043E44843B43E43443D43543944143F43E44143B43543443D43543343E43F43E44143544943543D43844F441430439442430"]]|(% style="width:370px" %)Customer hasn’t visited the site|(% style="width:446px" %)Send an email if the customer hasn’t visited the site in X days.319 +|(% style="width:399px" %)[[**Declining Website Visits**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41F44043E44843B43E43443D43543944143F43E44143B43543443D43543343E43F43E44143544943543D43844F441430439442430"]]|(% style="width:370px" %)Customer hasn’t visited the site|(% style="width:446px" %)Send an email if the customer hasn’t visited the site in X days. 320 320 321 321 ==== 3. Use Cases for the **Personalized Product Recommendations** Algorithm in Website Personalization ==== 322 322 323 323 (% class="table-bordered" style="width:1227px" %) 324 324 (% class="info" %)|(% style="text-align:center; width:399px" %)**Campaign**|(% style="text-align:center; width:369px" %)**Trigger**|(% style="text-align:center; width:452px" %)**Use Case** 325 -|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product page view|(% style="width:452px" %)**You Might Like** or **Just for You** section.325 +|(% style="width:399px" %)[[**Current Product Page View**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143C43E44244043543B43F44043E43444343A442A043D430441430439442435"]]|(% style="width:369px" %)Product page view|(% style="width:452px" %)**You Might Like** or **Just for You** section. 326 326 Recommendations related to the viewed product. 327 -|(% style="width:399px" %)[[**Website Login**>>doc:Main.Us ing.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143544243843B441430439442"]]|(% style="width:369px" %)Authorized customer login|(% style="width:452px" %)**You Might Like** or **Just for You** section.327 +|(% style="width:399px" %)[[**Website Login**>>doc:Main.Usage.Smart_Communications.Campaign_list.Triggers.WebHome||anchor="H41A43B43843543D44243F43E44143544243843B441430439442"]]|(% style="width:369px" %)Authorized customer login|(% style="width:452px" %)**You Might Like** or **Just for You** section. 328 328 Recommendations related to the viewed product. 329 329 330 330 ==== 4. General Concept of the **Personalized Product Recommendations** Algorithm ==== 331 331 332 -The **Personalized Product Recommendations** algorithm is an ensemble of multiple models and algorithms. Its foundation is the **[[Collaborative Filtering>>https://en.wikipedia.org/wiki/Collaborative_filtering]]**technique.332 +The **Personalized Product Recommendations** algorithm is an ensemble of multiple models and algorithms. Its foundation is the [[Collaborative Filtering>>https://en.wikipedia.org/wiki/Collaborative_filtering]] technique. 333 333 Using this method within an ensemble of models—alongside other algorithms—produces more relevant product recommendations for each customer. 334 334 335 335 **Collaborative filtering** is a method for generating predictions (recommendations) in [[recommendation systems>>doc:Main.General_information.Loymax_Loyalty.recommendation_systems.WebHome]] by leveraging known preferences (ratings) from a group of customers to predict unknown preferences for another customer. ... ... @@ -348,7 +348,7 @@ 348 348 * [[Product Recommendations Module Control Structure>>doc:.Control_structure.WebHome]] 349 349 * [[Recommendation System Integration>>doc:Main.General_information.Loymax_Loyalty.recommendation_systems.WebHome]] 350 350 * [[Omnichannel>>doc:Main.General_information.Sale_channels.WebHome]] 351 -* [[Attributes Related to Loymax AI>>doc:Main.Us ing.MMP.Admin_panel.Client_attributes.Common_attributes.WebHome||anchor="ML"]]351 +* [[Attributes Related to Loymax AI>>doc:Main.Usage.MMP.Admin_panel.Client_attributes.Common_attributes.WebHome||anchor="ML"]] 352 352 * [[Personal Offers Using Machine Learning Mechanics>>doc:Main.Installation_and_configuration.Extra_modules.CommunicationService_ML.WebHome]] 353 353 ))) 354 354
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