Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach

QR Code

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach

Learning preference models from human generated data is an important task in modern information processing systems. Its popular setting consists of simple input ratings, assigned with numerical values to indicate their relevancy with respect to a specific query. Since ratings are often specified wit...

Full description

Bibliographic Details
Main Authors:	Tran, The Truyen, Phung, D., Venkatesh, S.
Format:	Journal Article
Published:	Springer-Verlag London Ltd 2015
Online Access:	http://hdl.handle.net/20.500.11937/35961

Similar Items

Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering
by: Tran, Truyen, et al.
Published: (2011)

Learning From Ordered Sets and Applications in Collaborative Ranking
by: Tran, Truyen, et al.
Published: (2012)

A sequential decision approach to ordinal preferences in recommender systems
by: Tran, Truyen, et al.
Published: (2012)

Graph-induced restricted Boltzmann machines for document modeling
by: Nguyen, T., et al.
Published: (2016)

Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine
by: Nguyen, T., et al.
Published: (2013)

A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment
by: Tran, Dung, et al.
Published: (2006)

Tree-based iterated local search for Markov random fields with applications in image analysis
by: Tran, The Truyen, et al.
Published: (2014)

Cumulative restricted Boltzmann machines for ordinal matrix data analysis
by: Tran, Truyen, et al.
Published: (2012)

Learning Boltzmann distance metric for face recognition
by: Tran, Truyen, et al.
Published: (2012)

Thurstonian Boltzmann machines: Learning from multiple inequalities
by: Tran, The Truyen, et al.
Published: (2013)

Mixed-variate restricted boltzmann machines
by: Tran, The Truyen, et al.
Published: (2011)

Stabilizing high-dimensional prediction models using feature graphs
by: Gopakumar, S., et al.
Published: (2015)

Stabilizing sparse Cox model using statistic and semantic structures in electronic medical records
by: Gopakumar, S., et al.
Published: (2015)

Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
by: Raheem, Ajiboye Adeleke, et al.
Published: (2014)

Tensor-variate restricted boltzmann machines
by: Nguyen, T., et al.
Published: (2015)

Learning sparse latent representation and distance metric for image retrieval
by: Nguyen, T., et al.
Published: (2013)

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)
by: Tran, The Truyen, et al.
Published: (2015)

Kullback–Leibler divergence approach to partitioned update Kalman filter
by: Raitoharju, M., et al.
Published: (2017)

Mixed-Variate Restricted Boltzmann Machines
by: Tran, Truyen, et al.
Published: (2011)

Constrained sequence classification for lexical disambiguation
by: Tran, Truyen, et al.
Published: (2008)

Stabilized sparse ordinal regression for medical risk stratification
by: Tran, The Truyen, et al.
Published: (2014)

Design of a high-speed, reconfigurable digital rank order filter
by: Toscano, George John, et al.
Published: (2009)

Learning discriminative sequence models from partially labelled data for activity recognition
by: Tran, Truyen, et al.
Published: (2008)

Ipoll: Automatic polling using online search
by: Nguyen, T., et al.
Published: (2014)

Preference learning for eco-friendly hotels recommendation: a multi-criteria collaborative filtering approach
by: Nilashi, Mehrbakhsh, et al.
Published: (2019)

AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
by: Truyen, Tran, et al.
Published: (2006)

Item-based collaborative filtering technique for movie recommender based on user preference
by: Wong, Wai Leong
Published: (2018)

HealthMap: A visual platform for patient suicide risk review
by: Rana, S., et al.
Published: (2014)

Predicting unplanned readmission after myocardial infarction from routinely collected administrative hospital data
by: Rana, S., et al.
Published: (2014)

MCMC for Hierarchical Semi-Markov Conditional Random fields
by: Truyen, Tran, et al.
Published: (2009)

Hierarchical semi-markov conditional random fields for recursive sequential data
by: Tran, Truyen, et al.
Published: (2008)

Finding the optimal temporal partitioning of video sequences
by: Truong, Ba, et al.
Published: (2005)

Evaluation of approximate comparison methods on Bloom filters for probabilistic linkage
by: Brown, Adrian, et al.
Published: (2019)

Collaborative filtering ambient preference of batik contemporary quality / Izyan Iryani Mohd Yusouf
by: Mohd Yusouf, Izyan Iryani
Published: (2006)

Classification and pattern discovery of mood in weblogs
by: Nguyen, Thin, et al.
Published: (2010)

Hyper-community detection in the blogosphere
by: Nguyen, Thin, et al.
Published: (2010)

Nonnegative shared subspace learning and its application to social media retrieval
by: Gupta, Sunil, et al.
Published: (2010)

Collaborations, engagements boost UPM rankings
by: Sani, Rozana
Published: (2019)

Integration of rank-partition and sequential wrapper techniques for feature selection of breast cancer microarray data
by: Abdulwahhab, Ahmed Abbas
Published: (2015)

Recognising behaviours of multiple people with hierarchical probabilistic model and statistical data association
by: Nguyen, Nam, et al.
Published: (2006)