Recomendación+Contextual+IIdparra.sitios.ing.uc.cl/.../recsys-2015-2/clase15_CARS2.pdfclase15_CARS2.pptx...
Transcript of Recomendación+Contextual+IIdparra.sitios.ing.uc.cl/.../recsys-2015-2/clase15_CARS2.pdfclase15_CARS2.pptx...
![Page 1: Recomendación+Contextual+IIdparra.sitios.ing.uc.cl/.../recsys-2015-2/clase15_CARS2.pdfclase15_CARS2.pptx Author Denis Parra Created Date 10/20/2015 8:35:24 PM ...](https://reader036.fdocumento.com/reader036/viewer/2022081411/60acea138cad390a7b3a0118/html5/thumbnails/1.jpg)
Recomendación Contextual II
Denis Parra Sistemas Recomendadores
IIC 3633 2do semestre de 2015
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Agenda Semestral
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En esta clase
• Feedback sobre sus proyectos • FactorizaFon Machines • Resultado de proyecto final, clase RecSys 2014 (usando MovieCity)
• Best paper RecSys 2015: Augusto Q. Macedo, Leandro B. Marinho, and Rodrygo L.T. Santos. 2015. Context-‐Aware Event RecommendaFon in Event-‐based Social Networks.
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¿Cómo presento mis resultados en el proyecto final?
R: Usando como ejemplo los papers de Rendle et al.
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Comparación con varios algoritmos
• Check parameters (learning rate, dimensionality, regularizaFon, context)
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Comparación con varios algoritmos
• Check different datasets/features
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Comparación con varios algoritmos Steffen Rendle (2013): Scaling FactorizaFon Machines to RelaFonal Data, in Proceedings of the 39th internaFonal conference on Very Large Data Bases (VLDB 2013), Trento, Italy.
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FactorizaFon Machines • Rendle, S. (2010, December). Factoriza)on machines. In Data Mining (ICDM), 2010 IEEE 10th InternaFonal Conference on (pp. 995-‐1000). IEEE.
• Rendle, S., Gantner, Z., Freudenthaler, C., & Schmidt-‐Thieme, L. (2011, July). Fast context-‐aware recommenda)ons with factoriza)on machines. In Proceedings of the 34th internaFonal ACM SIGIR conference on Research and development in InformaFon Retrieval (pp. 635-‐644). ACM.
• Rendle, S. (2012). Factoriza)on machines with libFM. ACM TransacFons on Intelligent Systems and Technology (TIST), 3(3), 57.
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Máquinas de Factorización (2010) • Inspiradas en SVM, permiten agregar un número arbitrario de features (user, item, contexto) pero funcionan bien con “sparse data” al incorporar variables latentes factorizadas (inspiradas en Factorización Matricial). No se necesitan vectores de soporte para opFmizar el modelo.
• Generalizan diversos métodos de factorización matricial
• Disminuyen la complejidad de aprendizaje del modelo de predicción respecto de métodos anteriores
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MoFvación
• Cada tarea de recomendación (implicit feedback, agregar Fempo, incorporar contexto) requiere rediseño del modelo de opFmización y re-‐implementación del algoritmo de inferencia
• Lo ideal sería usar alguna herramienta como libSVM, Weka, … agregar los vectores de features
• Pero para manejar datos tan dispersos, se podrían mantener las factorizaciones!
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Dado un modelo con interacción d=2
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Dado un modelo con d=2
Sesgo (bias) global
Coeficientes de regresión de la j-ésima variable
Interacción de features
Factorización (variables latentes)
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Reducción del modelo
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Propiedades • Expresividad* (cualquier matrix semi-‐definida posiFva)
• MulFlinearidad** • Complexity
*, ** ver detalles en Rendle, S. (2010, December). Factoriza)on machines.
O(kn^2) -‐> O(kn) Y debido a dispersión de los datos, O(kmD)
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Comparación con otros modelos
• En el paper Rendle, S. (2010, December). Factoriza)on machines, se muestra como desde FM se puede derivar: – Matrix FactorizaFon – SVD++ – Pair-‐wise InteracFon Tag-‐FactorizaFon (PITF) – Factorized Personalized Markov Chains (FPMC)
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En la PrácFca: LibFM
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Modelo FM del caso anterior
Sesgo (bias) global
Parametros del Item
Parametros del Usuario
Sentimiento del usuario al ver la pelicula
Usuarios con quienes vio la película
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Results
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Using Libfm
• Llamada 1: • Llamada 2:
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• FactorizaFon Machines: Presentación inspirada en hxp://www.slideshare.net/hongliangjie1/libfm
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Proyecto Final curso RecSys 2014 • Trade-‐offs Between Implicit Feedback and Context-‐Aware RecommendaFon – SanFago Larraín, PUC Chile – Nicolás Risso, PUC Chile
• Moviecity Dataset
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Proyecto Final curso RecSys 2014 • Moviecity
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Dataset Moviecity
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Dataset MovieCity II
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Métodos I
• Hu and Koren ~ Implicit Feedback
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Métodos II
• Factorización Tensorial (usando HOSVD)
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Métodos III
• FactorizaFon Machines, Rendle (2010)
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Métricas de Evaluación
• RMSE: Diferencia de Fempo entre programa visto y lo predicho
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OpFmización de los modelos
Implicit Feedback
Tensor FactorizaFon
FactorizaFon Machines
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Comparación de los Modelos
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Conclusiones
• Error de MAE entre 40% y 70%: diferencia promedio entre el Fempo predicho y el Fempo que el usuario realmente vio. Mejor método es FactorizaFon Machines, indicando que para esta tarea el contexto ayuda.
• Ranking: el mejor método es Implicit Feedback recommender. Extrañamente, esto indica que para rankear, el mejor método no requiere contexto.
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Best Paper RecSys 2015
• Augusto Q. Macedo, Leandro B. Marinho, and Rodrygo L.T. Santos. 2015. Context-‐Aware Event RecommendaFon in Event-‐based Social Networks.
• Original slides at: hxp://www.slideshare.net/leandrobalby/recsys15-‐presentaFon
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PresenFng …
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Event-‐based Social Networks
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Event RecommendaFon is Cold-‐Start
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Idea 1: Use RSVP Data
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Sparsity level per User
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The Model: MCLRE
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Group Frequency
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MulF-‐RelaFonal MF (Drumond, 2012)
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Content of Events
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Which Fme/day users go to Events?
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Time-‐Aware Recommender
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LocaFon-‐Aware
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Learning to Rank Events
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Data
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EvaluaFon Protocal
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Compared Algorithms
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nDCG@10
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Robustnes to Data Spasity
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Contextual Features Importance
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Conclusions and Future Work
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References