… Recommender systems help users to find products or services they may like when … experience, it is important to test recommender system stability. In this work, we … recommender systems to guide the generation of dataset modifications to assess …
AAAI 2019: 4934-4942 [doi]… The performance of recommender systems is commonly characterized by metrics …, we start to describe a model of recommender systems that defines a space … characterization of the system, as they offer limited intuition and insights …
ICSE 2018: 173-174 [doi]… Recommender Systems (RSs) are software tools and techniques that provide suggestions for items that are most likely of interest to a particular user. In this introductory chapter, we briefly discuss basic RS ideas and concepts. Our main …
In Recommender Systems Handbook. pages 1-34, Springer US, Boston, MA, 2015. [doi]… to the user. However, detailed quantitative evaluations of such recommender systems … approach by evaluating an improvement of an existing API recommender tool … the validation of recommendation systems with large test beds in an objective manner …
RSSE 2008: [doi]… This paper presents an overview of the field of recommender systems and describes the current generation of recommendation methods that are usually classified … recommendation capabilities and make recommender systems applicable to an even …
tkde, 17(6):734-749, 2005. [doi]… A recommender system (RS) supports online users in e-commerce by proposing products that are assumed to be both useful and interesting. Knowledge-based recommendation systems form one branch of these online sales support systems …
constraints, 15(4):574-595, 2010. [doi]… , we have created REFEREE, a framework for building recommender systems using … recommender systems relatively easily and quickly. ResearchIndex is in many ways ideal for evaluating recommender systems, especially so-called hybrid …
VLDB 2002: 35-46 [doi]