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Although it is one of the most widely used methods in recommender systems, Collaborative Filtering (CF) still has difficulties in modeling non-linear user-item interactions. Complementary to this, recently developed deep generative model variants (e.g., Variational Autoencoder (VAE)) allowing Bayesian inference and approximation of the variational posterior distributions in these models, have achieved promising performance improvement in many areas. However, the choices of variation distribution - e.g., the popular diagonal-covariance Gaussians - are insufficient to recover the true distributions, often resulting in biased maximum likelihood estimates of the model parameters. Aiming at more tractable and expressive variational families, in this work we extend the flow-based generative model to CF for modeling implicit feedbacks. We present the Collaborative Autoregressive Flows (CAF) for the recommender system, transforming a simple initial density into more complex ones via a sequence of invertible transformations, until a desired level of complexity is attained. CAF is a non-linear probabilistic approach allowing uncertainty representation and exact tractability of latent-variable inference in item recommendations. Compared to the agnostic-presumed prior approximation used in existing deep generative recommendation approaches, CAF is more effective in estimating the probabilistic posterior and achieves better recommendation accuracy. We conducted extensive experimental evaluations demonstrating that CAF can capture more effective representation of latent factors, resulting in a substantial gain on recommendation compared to the state-of-the-art approaches.
This article was published in the following journal.
Name: Neural networks : the official journal of the International Neural Network Society
Collaborative research projects exclusively targeted to early career researchers (ECRs) have been initiated in Europe. So far, the first two collaborative projects have united more than 80 ECRs. We de...
In rapidly acquired functional MRI (fast fMRI) data, the noise serial correlations (SC) can produce problematically overestimated T-statistics which lead to invalid statistical inferences. This study ...
To evaluate the impact of the Trauma Collaborative Care (TCC) program's early intervention components on 6-week outcomes. TCC was developed to improve psychosocial sequelae of orthopaedic trauma and i...
Collaborative innovation is widely recognized as an instrument to promote technological convergence. However, its effects on technological convergence remain debatable. Using firm-level panel data of ...
Beginning with Turing's seminal work , decades of research have demonstrated the fundamental ability of biochemical networks to generate and sustain the formation of patterns. However, it is increa...
The aims of the present study will be to pilot test the efficacy of a collaborative care intervention in patients treated with dialysis to reduce symptoms of depression, pain, sleep, fatig...
Collaborative care for mental health is increasingly common, but most primary care practices have not embraced similar models for opioid use disorder (OUD). The investigators will rapidly ...
This study evaluates the effectiveness of a collaborative care model designed to treat frail seniors with both a mental (anxiety and/or depression) and a physical health condition impactin...
This study will give researchers the opportunity to evaluate implementation of the Collaborative Behavioral Health Program (CBHP), based on the collaborative care model for depression, whi...
This study evaluates the feasibility, acceptability, and impact of a collaborative care practice for infants investigated by state Child Protective Services (CPS) for suspected maltreatmen...
Collaborative process of research involving researchers and community representatives.
A genus of extremely thermophilic heterotrophic archaea, in the family THERMOCOCCACEAE, occurring in heated sea flows. They are anaerobic chemoorganotropic sulfidogens.
A musculomembranous sac along the URINARY TRACT. URINE flows from the KIDNEYS into the bladder via the ureters (URETER), and is held there until URINATION.
An electrochemical technique for measuring the current that flows in solution as a function of an applied voltage. The observed polarographic wave, resulting from the electrochemical response, depends on the way voltage is applied (linear sweep or differential pulse) and the type of electrode used. Usually a mercury drop electrode is used.
Garbage, refuse, or sludge, or other discarded materials from a wastewater treatment plant, water supply treatment plant, and air pollution control facility that include solid, semi-solid, or contained material. It does not include materials dissolved in domestic sewage, irrigation return flows, or industrial discharges.
Complementary and Alternative Medicine
Alternative medicine are whole medical systems that did not fit with conventional medicine as they have completely different philosophies and ideas on the causes of disease, methods of diagnosis and approaches to treatment. Although often overlapping, co...
Standard antiretroviral therapy (ART) consists of the combination of at least three antiretroviral (ARV) drugs to maximally suppress the HIV virus and stop the progression of HIV disease. Huge reductions have been seen in rates of death and suffering whe...