Content deleted Content added
Citation bot (talk | contribs) Add: isbn, chapter, s2cid, author pars. 1-1. Removed parameters. Some additions/deletions were actually parameter name changes. | You can use this bot yourself. Report bugs here. | Suggested by SemperIocundus | via #UCB_webform |
VoidPainter (talk | contribs) |
||
Line 54:
=== Hybrid MF ===
In recent years many other matrix factorization models have been developed to exploit the ever increasing amount and variety of available interaction data and use cases, for example, group-specific matrix factorization<ref>{{cite journal|last1=Bi|first1=Xuan|last2=Qu|first2=Annie|last3=Wang|first3=Junhui|last4=Shen|first4=Xiaotong|year=2017|title=A group-specific recommender system.|url=https://amstat.tandfonline.com/doi/abs/10.1080/01621459.2016.1219261|journal=Journal of the American Statistical Association|publisher=|volume=112|issue=519|pages=1344-1353|doi=}}</ref>. Hybrid matrix factorization algorithms are capable of merging explicit and implicit interactions <ref name="Zhao16">{{cite journal |last1=Zhao |first1=Changwei |title=Hybrid Matrix Factorization for Recommender Systems in Social Networks |last2=Sun |first2=Suhuan |last3=Han |first3=Linqian |last4=Peng |first4=Qinke |journal=Neural Network World |date=2016 |volume=26 |issue=6 |pages=559–569 |doi=10.14311/NNW.2016.26.032|doi-access=free }}</ref> or both content and collaborative data <ref name="Zhou12">{{cite book |last1=Zhou |first1=Tinghui |last2=Shan |first2=Hanhuai |last3=Banerjee |first3=Arindam |last4=Sapiro |first4=Guillermo |title=Kernelized Probabilistic Matrix Factorization: Exploiting Graphs and Side Information |journal=Proceedings of the 2012 SIAM International Conference on Data Mining |date=26 April 2012 |pages=403–414 |doi=10.1137/1.9781611972825.35 |publisher=Society for Industrial and Applied Mathematics|isbn=978-1-61197-232-0 }}</ref><ref name="Adams10">{{cite arxiv |last1=Adams |first1=Ryan Prescott |last2=Dahl |first2=George E. |last3=Murray |first3=Iain |title=Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes 1003.4944|date=25 March 2010 |eprint=1003.4944|class=stat.ML }}</ref><ref name="Fang11">{{cite book |last1=Fang |first1=Yi |title=Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems - Het ''Rec'' '11 |last2=Si |first2=Luo |date=27 October 2011 |pages=65–69 |doi=10.1145/2039320.2039330 |publisher=ACM|chapter=Matrix co-factorization for recommendation with rich side information and implicit feedback |isbn=9781450310277 |s2cid=13850687 }}</ref>
===Deep-Learning MF===
| |||