Probabilistic topic model for hybrid recommender systems : a stochastic variational Bayesian approach
Year of publication: |
November-December 2018
|
---|---|
Authors: | Ansari, Asim ; Li, Yang ; Zhang, Jonathan Z. |
Published in: |
Marketing science. - Catonsville, MD : INFORMS, ISSN 0732-2399, ZDB-ID 883054-X. - Vol. 37.2018, 6, p. 987-1008
|
Subject: | hybrid recommendation models | personalized search | user-generated content | probabilistic topic models | big data | scalable inference | stochastic variational Bayes | Personalisierung | Personalization | Bayes-Statistik | Bayesian inference | Wahrscheinlichkeitsrechnung | Probability theory | Theorie | Theory | Stochastischer Prozess | Stochastic process | Big Data | Big data |
-
Ansari, Asim, (2019)
-
Large vector autoregressions with stochastic volatility and flexible priors
Carriero, Andrea, (2016)
-
Financial distress prediction with optimal decision trees based on the optimal sampling probability
Chi, Guotai, (2024)
- More ...
-
Ansari, Asim, (2019)
-
Dynamic targeted pricing in B2B relationships
Zhang, Jonathan Z., (2014)
-
Dynamic Targeted Pricing in B2B Settings
Zhang, Jonathan Z., (2016)
- More ...