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In this work, we investigate the impact of social influence of a Facebook fan page on movie box offices. We aim to enhance the accuracy of predicting the box office by leveraging the social influence among users in the fan page. We develop the Global Influence Model to compute the user influence and predict the engagements between the fan page and users. In addition, we propose the Linear Box Office...
Sentiment analysis has now become a popular research problem to tackle in NLP field. However, there are very few researches conducted on sentiment analysis for Chinese. Progress is held back due to lack of large and labelled corpus and powerful models. To remedy this deficiency, we build a Chinese Sentiment Treebank over social data. It concludes 13550 labeled sentences which are from movie reviews...
Nowadays, people rely on the Recommender System (RS) to make their decisions on the Internet. Most previous techniques only focused on the user bias and item bias, while the detailed features of users or items have been overlooked. In this paper, we propose a new algorithm to provide more precise suggestions for users in RS. The proposed algorithm introduces a User-Item-Feature-based (UIF) model to...
Recommender systems are becoming very useful for competitive businesses. It is very important for recommender systems to extract user preferences accurately by utilizing logs that record user behavior. Furthermore, user behavior should be analyzed from multiple aspects, storing the results as multicriteria rating scores. If the rating information is sparse, then systems are forced to compensate. One...
Two rating patterns exist in the user-item rating matrix and influence each other: the personal rating patterns are hidden in each user's entire rating history, while the global rating patterns are hidden in the entire user-item rating matrix. In this paper, a Rating Pattern Subspace is proposed to model both of the rating patterns simultaneously by iteratively refining each other with an EM-like...
An incredible amount of movies are released every year in Japan, and movies that match the viewers' social needs are the ones that become the big hits. All movies share a common trait in that they all include various “concepts”. For example, the American film “The Matrix” includes the concepts “virtual space”, “artificial intelligence”, “domination”, and others. We have developed a system for predicting...
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