How recommendation works in OasisLMS-Logic behind "Common Learner Recommendation"

Video Transcription

Video Summary

The Common Learner Recommendation engine uses learners' history to suggest courses. When enabled, it cross-references the courses learners have taken to provide recommendations. For instance, if many learners who took a certain course also took another, it recommends both courses. This system is less effective when a few courses are overwhelmingly popular, leading to repetitive suggestions. The engine tracks common learners over the past 12 months and evaluates lifetime data as a tiebreaker. It's especially useful on active platforms with diverse course offerings. The next video will explore the learner's perspective on these recommendations.

Keywords

recommendation engine

course suggestions

learner history

popular courses

diverse offerings

KGConcept: Common Learner Recommendation Engine (10)

KGConcept: Learner Shared Learning History (9)

KGConcept: Related Course Recommendation (8)

KGConcept: Administrator Action (7)

KGConcept: Engine Enablement (7)

KGConcept: Popular Course Dominance (6)

KGConcept: Common Learner Count (9)

KGConcept: Recent Common Learner Count (8)

KGConcept: Lifetime Common Learner Count (8)

KGConcept: Recommendation Ranking (9)

KGConcept: Recency (7)

KGConcept: Tiebreaker (6)