In this chapter, our aim is to show how group recommendation can be implemented on the basis of recommendation paradigms for individual users. Specifically, we focus on collaborative filtering, content-based filtering, constraint-based, critiquing-based, and hybrid recommendation. Throughout this ...
Chapter 2 Algorithms for Group Recommendation In this chapter, our aim is to show how group recommendation can be implemented on the basis of recommendation paradigms for individual users. Specifically, we focus on collaborative filtering, content-based filtering, constraint-based, ... A Felfernig,...
Also the diversity, coverage, and serendipity of the group recommendations are to a large extent dependent on the used grouping strategy and recommendation algorithm. Consequently for (commercial) group recommender systems, the grouping strategy and algorithm have to be chosen carefully in order to ...
http://socialcomputing.asu. edu 28. Zapata, A., Men´endez, V.H., Prieto, M.E., Romero, C.: Evaluation and selection of group recommendation strategies for collaborative searching of learning objects. Int. J. Hum.-Comput. Stud. 76, 22–39 (2015) http-equiv="content-type" ...
Different from self-selection, some universities are also trying to use big data to find more compatible roommates for freshmen. For example, this year, before the dormitory allocation for new students, the Beijing Institute of Technology conducted a questionnaire survey. The survey included topics ...
Since more and more Web sites, especially sites of retailers, offer automatic recommendation services using Web usage mining, evaluation of recommender algorithms has become increasingly important. In this paper we present a framework for the evaluation of different aspects of recommender systems based ...
‘opening a blind box’ allows university students to select dormitories based on fate. Everyone should cherish this connection and seek true friends, soulmates, and kindred spirits among a great number of freshmen. This will be a ‘social asset’ for students after they step out of the ...
As theback-to-school seasonapproaches, “roommate allocation” has become a hot topic among the freshmen of the Class of 2023. Under the previous mainly random allocation system, the identity of roommates to share the same roof for several years was unpredictable beforehand. The location and arra...
Decision trees are a type of supervised learning algorithm used for both classification and regression tasks. They split a dataset into subsets based on the value of input features. This process is repeated recursively, resulting in a tree-like model of decisions. Mathematical Background The decisio...
Jonathan Stray, senior scientist for the Center for Human-Compatible Artificial Intelligence at the University of California, Berkeley, said that “niche content provides a much stronger signal than general interest content.” The tests, experts said, showed that Meta’s algorithms have found that so...