How recommendation works in OasisLMS-Logic behind "Cross-Selling Recommendation"

Video Transcription

Video Summary

The video discusses the implementation of cross-selling recommendations, which suggest additional products based on a user's previous purchases. After activating this feature, the user manually adjusts recommendations by overriding the common learner engine with more tailored suggestions. This includes adding reciprocal recommendations, where two courses mutually suggest each other, and specifying criteria like post-test scores. This manual customization allows administrators to tailor recommendations according to their understanding of course relevancy, potentially enhancing the user experience over automated suggestions. The process includes setting cross-selling logic and observing changes in related product suggestions.

Keywords

cross-selling

recommendations

manual customization

reciprocal suggestions

post-test scores

KGConcept: Cross-Selling Recommendation (10)

KGConcept: Administrator (8)

KGConcept: Related Products (9)

KGConcept: Recommendation Engine (8)

KGConcept: Reciprocal Recommendation (7)

KGConcept: Non-Reciprocal Recommendation (7)

KGConcept: Threshold Setting (6)

KGConcept: Post-Test Score (5)