Comparison with baseline method

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Fig. 1 Three paradigms of context-aware recommender systems

Fig. 3 Single context belongs to user sensitive context statistics 4...

Fig. 4 Schematic diagram of four-dimensional tensor construction

Fig. 5 Effect of learning rate α on the model

Research on Multi-Context-Aware Recommendation Methods Based on Tensor Factorization

Preprint

Full-text available

Apr 2022

Compared with the traditional recommender systems, context-aware recommender systems are more in line with actual application contexts. However, the existing researches are mostly focused on single context-aware recommendation, such as time-aware recommendation or location-aware recommendation, and lack of in-depth research on multi-context-aware r...

Context 1

... on the parameter optimization, the proposed method was compared with three baseline methods (Standard-CP, HOSVD and NMF), and the experimental results on RMSE and MAE are shown in Figure 8. ...

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Three paradigms of context-aware recommender systems

Third-order tensor factorization process

Single context belongs to user sensitive context statistics (The higher...

Schematic diagram of four-dimensional tensor construction

Effect of learning rate α\documentclass[12pt]{minimal}...

Research on multi-context aware recommendation methods based on tensor factorization

Article

Full-text available

May 2023

Compared to the traditional recommender systems, context-aware recommender systems are more in line with actual application contexts. However, the existing researches are mostly focused on single context-aware recommendation, such as time-aware recommendation or location-aware recommendation, and lack of in-depth research on multi-context-aware rec...

Comparison with baseline method

Context in source publication

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