Mutual Reinforcement of Collaborative Filtering and Sentiment Analysis

An apparatus, comprising:

• a memory configured to store an implicit feedback collaborative filtering model, a sentiment analysis model and an explicit feedback collaborative filtering model;
• and
• a processor configured to:
• to receive a set of transactions for multiple users, each of the transactions comprising a user, an item, and a text string indicating an attitude of the user toward the item,
• to identify a set of the items in the transactions,
• to execute, using input comprising the transactions, the implicit feedback collaborative filtering model to compute, for each of the users, a predicted rating for each of the items,
• to execute, using input comprising the transactions and the predicted ratings as labels, the sentiment analysis model to compute, for each given user, an opinion for each of the given items in the transactions for the given user, and
• to execute, using input comprising the transactions and the opinions as factors for the predicted ratings, the explicit feedback collaborative analysis model to update, for each of the users, the predicted ratings for each of the items.

A computer program product, the computer program product comprising:

• a non-transitory computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising:
• computer readable program code configured to receive a set of transactions for multiple users, each of the transactions comprising a user, an item, and a text string indicating an attitude of the user toward the item;
• computer readable program code configured to identify a set of the items in the transactions;
• computer readable program code configured to execute, using input comprising the transactions, an implicit feedback collaborative filtering model to compute, for each of the users, a predicted rating for each of the items;
• computer readable program code configured to execute, using input comprising the transactions and the predicted ratings as labels, a sentiment analysis model to compute, for each given user, an opinion for each of the given items in the transactions for the given user;
• and
• computer readable program code configured to execute, using input comprising the transactions and the opinions as factors for the predicted ratings, an explicit feedback collaborative analysis model to update, for each of the users, the predicted ratings for each of the items.