Glad to see your papaer being accepted.
However, I noticed that you mentioned that `We collected this dataset because there was no public dataset that includes both search and recommendation data'. Actually, there is a dataset, namely KuaiSAR, satisfying the condition. Additionally, this paper seems being lack of citations of related works on joint modeling of search and recommendation. Hope you can consider citing following highly related papers: When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation SIGIR 22, UniSAR: Modeling User Transition Behaviors between Search and Recommendation SIGIR 23, A Model-Agnostic Causal Learning Framework for Recommendation using Search Data WWW 2022, USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence CIKM 21.
In summary, hope you can consider adding the mentioned works.
Hi, @17231087
Glad to see your papaer being accepted. However, I noticed that you mentioned that `We collected this dataset because there was no public dataset that includes both search and recommendation data'. Actually, there is a dataset, namely KuaiSAR, satisfying the condition. Additionally, this paper seems being lack of citations of related works on joint modeling of search and recommendation. Hope you can consider citing following highly related papers: When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation SIGIR 22, UniSAR: Modeling User Transition Behaviors between Search and Recommendation SIGIR 23, A Model-Agnostic Causal Learning Framework for Recommendation using Search Data WWW 2022, USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence CIKM 21.
In summary, hope you can consider adding the mentioned works.