subject predicate object context
58720 Creator 8eb9378b0e3dcd225dfc47fcdc9b35f4
58720 Creator ext-97431bf36707868d9d26a07439e8dd87
58720 Creator ext-6481f954cdab420a0704c16fe9fd916e
58720 Creator ext-74447a124f0624667ac01b7f5b469678
58720 Date 2017-08-18
58720 Is Part Of repository
58720 Is Part Of pa85d402ff78f3c82dedfc8f9b498ccf2
58720 abstract Research in recommendation systems has to date focused on recommending individual items to users. However there are contexts in which combinations of items need to be recommended, and there has been less research to date on how collaborative methods such as matrix factorization can be applied to such tasks. The research contributions of this paper are threefold. First, we formalize the collaborative package recommendation task as an extension of the standard collaborative recommendation task. Second, we describe and make available a novel package recommendation dataset in the clothes domain, where a combination of a “top” (e.g. a shirt, t-shirt or top) and “bottom” (e.g. trousers, shorts or skirts) needs to be recommended. Finally, we describe several extensions of matrix factorization to predict user ratings on packages, and report RMSE improvements over the standard matrix factorization approach for recommending combinations of tops and bottoms.
58720 authorList authors
58720 presentedAt ext-8b6762f49e68b20a48ddbb2f2fc1ef60
58720 status peerReviewed
58720 volume 1892
58720 type AcademicArticle
58720 type Article
58720 label Wibowo, Agung Toto; Siddharthan, Advaith ; Lin, Chenghua and Masthoff, Judith (2017). Matrix Factorization for Package Recommendations. In: Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios (ComplexRec 2017), 1892 pp. 23–28.
58720 label Wibowo, Agung Toto; Siddharthan, Advaith ; Lin, Chenghua and Masthoff, Judith (2017). Matrix Factorization for Package Recommendations. In: Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios (ComplexRec 2017), 1892 pp. 23–28.
58720 Title Matrix Factorization for Package Recommendations
58720 in dataset oro