Temporal QoS-aware web service recommendation via non-negative tensor factorization
By Wancai Zhang, Hailong Sun, Xudong Liu, Xiaohui Guo. 2014
148 citations recorded by the source corpus.
Subfields: Computational Mathematics, Computer Networks and Communications, Information Systems, Recommender Systems, Mathematical Optimization
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In Computational Mathematics
In Computer Networks and Communications
In Information Systems
In Recommender Systems
In Mathematical Optimization
Citations in the corpus
- Collaborative Deep Learning for Recommender Systems (2014, background): “Categories and Subject Descriptors H.1.0 [Information Systems]: Models and Principles— General ; J.4 [Computer Applications]: Social and Behavioral Sciences Keywords Recommender systems; Deep learning; Topic model; Text mining”
- Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors (2020, methodology): “Therefore, QoS-based approaches to Web service selection were carefully investigated during the last decade [7]–[9].”
- Building Natural Language Interfaces to Web APIs (2017, background): “On the otherhand, NL2APIs can alsofacilitate web service discovery [20], recommendation [35], and help API programming by reducing the burden to memorize the available web APIs and their syntax [10].”