In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
We investigate the impact of a discussion snippet’s overall sentiment on a user’s willingness to read more of a discussion. Using sentiment analysis, we constructed positive, ...
Hyung-il Ahn, Werner Geyer, Casey Dugan, David R. ...
Music Recommendation Systems often recommend individual songs, as opposed to entire albums. The challenge is to generate reviews for each song, since only full album reviews are a...
Trust propagation is a fundamental topic of study in the theory and practice of ranking and recommendation systems on networks. The Page Rank [9] algorithm ranks web pages by propa...
Christian Borgs, Jennifer T. Chayes, Adam Tauman K...
We outline a method to model customer behavior from retail transaction data. In particular, we focus on the problem of recommending relevant products to consumers. Addressing this ...