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A deep framework for cross-domain and cross-system recommendations
A deep framework for cross-domain and cross-system recommendations -
A graph-based framework for cross-domain and cross-system recommendations
A graph-based framework for cross-domain and cross-system recommendations -
A unified framework for cross-domain and cross-system recommendations
A unified framework for cross-domain and cross-system recommendations -
Amazon dataset
The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number... -
Domain-to-Domain Translation Model for Recommender System
Propose a multi-domain recommender system that can extract both homogeneous and divergent features among domains. -
Xianyu Production Dataset
The dataset used in this paper is a collection of user interaction data from the Xianyu homepage recommendation system. -
AmazonKG4CDR
Cross-domain recommendation (CDR) can help customers find more satisfying items in different domains. Existing CDR models mainly use common users or mapping functions as bridges... -
Cell Phones and Accessories dataset
The dataset used in the paper is Cell Phones and Accessories dataset.
