You Today, Better Tomorrow: Envisioning the Role of Conversation in Recommender Systems of the Future
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- You Today, Better Tomorrow: Envisioning the Role of Conversation in Recommender Systems of the Future
Recommendations
Beyond the top-N: algorithms that generate recommendations for self-actualization
RecSys '18: Proceedings of the 12th ACM Conference on Recommender SystemsRecommender systems traditionally provide users with recommendations that match their preferences, which creates a personalized user experience and increases users' satisfaction. However, recommendations from traditional systems may sometimes be ...
Conversational Collaborative Recommendation --- An Experimental Analysis
Traditionally, collaborative recommender systems have been based on a single-shot model of recommendation where a single set of recommendations is generated based on a user's (past) stored preferences. However, content-based recommender system research ...
Acquiring User Information Needs for Recommender Systems
WI-IAT '13: Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 03Most recommender systems attempt to use collaborative filtering, content-based filtering or hybrid approach to recommend items to new users. Collaborative filtering recommends items to new users based on their similar neighbours, and content-based ...
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