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An educational organization wanted to improve their participants\u2019 experience by using a recommendation engine for course selection. To efficiently handle the large amount of data and relationships involved in the recommendation process, they chose TigerGraph as their database solution.<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.25.1″ _module_preset=”acf0c613-b10a-4218-965c-ed6dfe77c1c8″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
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The educational organization faced multiple challenges, including:<\/p>\n
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[\/et_pb_text][et_pb_text _builder_version=”4.25.1″ _module_preset=”acf0c613-b10a-4218-965c-ed6dfe77c1c8″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
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To overcome these challenges, the organization chose TigerGraph for their recommendation engine due to its native graph processing capabilities. With TigerGraph, they managed the large amount of data and relationships involved in the recommendation process effortlessly. They loaded data from different sources into TigerGraph and created a graph model to represent the data.<\/p>\n
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The recommendation engine was built using TigerGraph\u2019s GSQL query language, which provided a powerful and expressive way to query and analyze the data. Moreover, GSQL allowed the organization to personalize recommendations for each participant based on their preferences and goals. TigerGraph\u2019s real-time indexing and querying capabilities allowed the organization to offer real-time recommendations based on the latest data.<\/p>\n
[\/et_pb_text][et_pb_image src=”https:\/\/www.factory-x.hr\/wp-content\/uploads\/2023\/03\/tigergraph-recommendation-engine-01-2.jpg” title_text=”tigergraph-recommendation-engine-01″ show_in_lightbox=”on” _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][et_pb_text _builder_version=”4.25.1″ _module_preset=”acf0c613-b10a-4218-965c-ed6dfe77c1c8″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
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The educational organization implemented a successful recommendation engine for course selection using TigerGraph. The engine delivered personalized and real-time recommendations, improving participants\u2019 course selection experience. Furthermore, TigerGraph\u2019s native graph processing and GSQL made it easy to manage the large amount of data and relationships involved in the recommendation process.<\/p>\n
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As a result, the organization noticed a significant improvement in participant satisfaction with the course selection process and a rise in participant retention. The recommendation engine identified participants at risk of dropping out and provided personalized recommendations, keeping them on track.<\/p>\n
[\/et_pb_text][et_pb_text _builder_version=”4.25.1″ _module_preset=”acf0c613-b10a-4218-965c-ed6dfe77c1c8″ global_colors_info=”{}” theme_builder_area=”post_content”]<\/p>\n
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Finally, TigerGraph demonstrated its effectiveness as a solution for the educational organization\u2019s recommendation engine. Its native graph processing and GSQL query language enabled the effortless handling of large amount of data and relationships involved in the recommendation process. In conclusion, the recommendation engine provided personalized and real-time recommendations to participants, improving their course selection experience and increasing participant retention.<\/p>\n
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Are you looking for a custom software solution?\u00a0Contact us<\/a>\u00a0via the contact form or send an inquiry on\u00a0info@factory-x.hr<\/a>\u00a0.<\/p>\n [\/et_pb_text][et_pb_image src=”https:\/\/www.factory-x.hr\/wp-content\/uploads\/2023\/03\/tigergraph-recommendation-engine-02-1.jpg” title_text=”tigergraph-recommendation-engine-02″ show_in_lightbox=”on” _builder_version=”4.20.0″ _module_preset=”default” global_colors_info=”{}” theme_builder_area=”post_content”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":" Discover how the educational organization was able to successfully implement a recommendation engine for course selection using TigerGraph.<\/p>\n","protected":false},"author":1,"featured_media":5214,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"project_category":[388],"project_tag":[],"class_list":["post-4902","project","type-project","status-publish","has-post-thumbnail","hentry","project_category-case-study"],"yoast_head":"\n