research-article

Causal Inference for Knowledge Graph Based Recommendation

Authors:

Tat-Seng ChuaAuthors Info & Claims

IEEE Transactions on Knowledge and Data Engineering, Volume 35, Issue 11

Pages 11153 - 11164

https://doi.org/10.1109/TKDE.2022.3231352

Published: 01 November 2023 Publication History

Abstract

Knowledge Graph (KG), as a side-information, tends to be utilized to supplement the collaborative filtering (CF) based recommendation model. By mapping items with the entities in KGs, prior studies mostly extract the knowledge information from the KGs and inject it into the representations of users and items. Despite their remarkable performance, they fail to model the user preference on attribute in the KG, since they ignore that (1) the structure information of KG may hinder the user preference learning, and (2) the user's interacted attributes will result in the bias issue on the similarity scores. With the help of causality tools, we construct the causal-effect relation between the variables in KG-based recommendation and identify the reasons causing the mentioned challenges. Accordingly, we develop a new framework, termed Knowledge Graph-based Causal Recommendation (KGCR), which implements the deconfounded user preference learning and adopts counterfactual inference to eliminate bias in the similarity scoring. Ultimately, we evaluate our proposed model on three datasets, including Amazon-book, LastFM, and Yelp2018 datasets. By conducting extensive experiments on the datasets, we demonstrate that KGCR outperforms several state-of-the-art baselines, such as KGNN-LS (Wang et al., 2019), KGAT (Wang et al., 2019) and KGIN (Wang et al., 2021).

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Chen JCai YXu RWang JXie JLi QCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Deconfounded Emotion Guidance Sticker Selection with Causal InferenceProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681522(3084-3093)Online publication date: 28-Oct-2024
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Ma YLiu XWei YTao ZWang XChua TAngélica LLattanzi SMuñoz Medina AAkoglu LGionis AVassilvitskii S(2024)Leveraging Multimodal Features and Item-level User Feedback for Bundle ConstructionProceedings of the 17th ACM International Conference on Web Search and Data Mining10.1145/3616855.3635854(510-519)Online publication date: 4-Mar-2024
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Chen HLiao BLuo JZhu WYang X(2024)Learning a Structural Causal Model for Intuition Reasoning in ConversationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.335257536:7(3210-3223)Online publication date: 11-Jan-2024
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Index Terms

Causal Inference for Knowledge Graph Based Recommendation
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Collaborative filtering
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
  2. Information systems applications
    1. Data mining

Index terms have been assigned to the content through auto-classification.

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cover image IEEE Transactions on Knowledge and Data Engineering

IEEE Transactions on Knowledge and Data Engineering Volume 35, Issue 11

Nov. 2023

1085 pages

ISSN:1041-4347

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1041-4347 © 2022 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.

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Published: 01 November 2023

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Cited By

Chen JCai YXu RWang JXie JLi QCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Deconfounded Emotion Guidance Sticker Selection with Causal InferenceProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681522(3084-3093)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681522
Ma YLiu XWei YTao ZWang XChua TAngélica LLattanzi SMuñoz Medina AAkoglu LGionis AVassilvitskii S(2024)Leveraging Multimodal Features and Item-level User Feedback for Bundle ConstructionProceedings of the 17th ACM International Conference on Web Search and Data Mining10.1145/3616855.3635854(510-519)Online publication date: 4-Mar-2024
https://dl.acm.org/doi/10.1145/3616855.3635854
Chen HLiao BLuo JZhu WYang X(2024)Learning a Structural Causal Model for Intuition Reasoning in ConversationIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2024.335257536:7(3210-3223)Online publication date: 11-Jan-2024
https://dl.acm.org/doi/10.1109/TKDE.2024.3352575
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Ji WLiu XZhang AWei YNi YWang XEl Saddik AMei TCucchiara RBertini MTobon Vallejo DAtrey PHossain M(2023)Online Distillation-enhanced Multi-modal Transformer for Sequential RecommendationProceedings of the 31st ACM International Conference on Multimedia10.1145/3581783.3612091(955-965)Online publication date: 26-Oct-2023
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