Multifactor2vec modifies skip-gram to embed courses and factors like instructors from enrollment sequences, improving offline accuracy/recall and yielding more novel recommendations than RNN in a 70-student user study.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Combating the Filter Bubble: Designing for Serendipity in a University Course Recommendation System
Multifactor2vec modifies skip-gram to embed courses and factors like instructors from enrollment sequences, improving offline accuracy/recall and yielding more novel recommendations than RNN in a 70-student user study.