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Found 3 papers, 1 papers with code
Revisiting SVD to generate powerful Node Embeddings for Recommendation Systems
Graph Representation Learning (GRL) is an upcoming and promising area in recommendation systems.
The State and Fate of Linguistic Diversity and Inclusion in the NLP World
Language technologies contribute to promoting multilingualism and linguistic diversity around the world.
Rich-Item Recommendations for Rich-Users: Exploiting Dynamic and Static Side Information
In this paper, we study the problem of recommendation system where the users and items to be recommended are rich data structures with multiple entity types and with multiple sources of side-information in the form of graphs.
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