Enhancing Collaborative Filtering Recommender with Prompt-Based Sentiment Analysis. (arXiv:2207.12883v1 [cs.IR])

Collaborative Filtering(CF) recommender is a crucial application in the
online market and ecommerce. However, CF recommender has been proven to suffer
from persistent problems related to sparsity of the user rating that will
further lead to a cold-start issue. Existing methods address the data sparsity
issue by applying token-level sentiment analysis that translate text review
into sentiment scores as a complement of the user rating. In this paper, we
attempt to optimize the sentiment analysis with advanced NLP models including …

analysis arxiv collaborative collaborative filtering filtering sentiment sentiment analysis