We propose a Relation Preference oriented High-order Sampling (RPHS) model to dynamically sample subgraphs based on relation preference and hard negative ...
Apr 18, 2023 · WSDM-23 Paper: Relation Preference oriented High-order Sampling for Recommendation. 49 views · 1 year ago ...more. Association for Computing ...
Relation Preference oriented High-order Sampling for Recommendation. Published on Mar 17, 20238 Views. WSDM 2023 - Singapore. Bookmark You need to login
This paper proposes a method that fuses higher order feature interactions and knowledge graphs and uses them for recommendation. For users, they uses gated ...
May 14, 2024 · In this paper, we provide a comprehensive overview of the developments in review-based recommender systems over recent years.
In this work, we propose a collaborative graph model of user preferences for image recommendation, which establishes a higher-order collaborative relationship ...
Jul 15, 2023 · Abstract—Social recommendation learns users' preferences by integrating social information and interaction information.
A robustly co-learning model (RCoLM) that takes the incompleteness nature of KGs into consideration when incorporating them into recommendation and provides ...
Jan 13, 2024 · Relation Preference oriented High-order Sampling for Recommendation · Variational Reasoning over Incomplete Knowledge Graphs for ...
Nov 18, 2024 · It introduces an advanced similarity measurement approach grounded in scenario constraints, focusing on three key elements: time, space, and ...
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