Table 1 Major studies on patent recommendations.

From: Interpretable patent recommendation with knowledge graph and deep learning

Studies

Contexts

Involved information

Applied techniques

Interpretability

Texts

Categories

Citations

Inventors

Interactions

Quality

Chen and Chiu 25

C1

 

    

CB

 

Ji et al.26

C1

  

 

Hybrid

 

Sooyoung Oh et al.27

C1

  

Hybrid

 

Trappey et al.28

C1

    

 

CF

 

Krestel and Smyth29

C1

     

CB

 

Oh et al.30

C1

  

   

CF

 

Mahdabi and Crestani31

C1

  

Hybrid

 

Fu et al.23

C1

 

Hybrid

 

Deng et al.32

C1

     

CB

 

Rui and Min33

C1

     

CB

 

Chen et al.9

C1

  

  

CB

 

Trappey et al.12

C1

     

CB

 

Wang et al.8

C2

 

Hybrid

 

He et al.10

C2

 

  

 

Hybrid

 

Deng and Ma (2021)

C2

     

CB

 

Du et al.22

C2

 

Hybrid

 

The proposed method

C2

Hybrid

  1. C1 is the query-driven patent search context, C2 is the patent transfer context, CB represents content-based recommendation methods, and CF represents collaborative filtering recommendation methods.