A hybrid recommender that mixes editor-assigned tags with Amazon search terms improves e-book tag accuracy, diversity, and a newly proposed Doc2Vec-based semantic similarity score.
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
CONDITIONAL 1representative citing papers
citing papers explorer
-
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
A hybrid recommender that mixes editor-assigned tags with Amazon search terms improves e-book tag accuracy, diversity, and a newly proposed Doc2Vec-based semantic similarity score.