{"type":"ScholarlyArticle","title":"Exploring Implicit Hierarchical Structures for Recommender Systems","authors":[{"name":"Suhang Wang","slug":"suhang-wang","given":"Suhang","family":"Wang","affiliation":"School of Computing, Informatics, and Decision Systems Engineering Arizona State University , USA"},{"name":"Jiliang Tang","slug":"jiliang-tang","given":"Jiliang","family":"Tang","affiliation":"School of Computing, Informatics, and Decision Systems Engineering Arizona State University , USA"},{"name":"Yilin Wang","slug":"yilin-wang","given":"Yilin","family":"Wang","affiliation":"School of Computing, Informatics, and Decision Systems Engineering Arizona State University , USA"},{"name":"Huan Liu","slug":"huan-liu","given":"Huan","family":"Liu","affiliation":"School of Computing, Informatics, and Decision Systems Engineering Arizona State University , USA"}],"abstract":"Items in real-world recommender systems exhibit certain hierarchical structures. Similarly, user preferences also present hierarchical structures. Recent studies show that incorporating the explicit hierarchical structures of items or user preferences can improve the performance of recommender systems. However, explicit hierarchical structures are usually unavailable, especially those of user preferences. Thus, there's a gap between the importance of hierarchical structures and their availability. In this paper, we investigate the problem of exploring the implicit hierarchical structures for recommender systems when they are not explicitly available. We propose a novel recommendation framework HSR to bridge the gap, which enables us to capture the implicit hierarchical structures of users and items simultaneously. Experimental results on two real world datasets demonstrate the effectiveness of the proposed framework.","doi":null,"url":"https://ijcai.org/proceedings/2015/258","pdf":"https://ijcai.org/proceedings/2015/0258.pdf","markdown":"https://ijcai.org/proceedings/2015/258.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/258","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Recommender Systems","track":"Main Track","number":258,"pages":{"first":1813,"last":1818},"keywords":[],"videos":[],"references":[{"position":1,"raw":"[Boyd and Vandenberghe, 2004] Stephen Boyd and Lieven Vandenberghe. 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