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PKG: A Personal Knowledge Graph for Recommendation

Published: 07 July 2022 Publication History

Abstract

Mobile internet users generate personal data on the devices all the time in this era. In this paper, we demonstrate a novel system for integrating the data of a user from different sources into a Personal Knowledge Graph, i.e., PKG. We show how a user's intention can be detected and how the personal data can be aligned and connected by the user behaviors. The constructed PKG allows the system makes reasonable and accurate recommendations for users by a "neural + symbolic'' approach across different services. Our system is shown in https://youtu.be/hWuo8KCDrto.

References

[1]
Eugene Agichtein and Luis Gravano. 2000. Snowball: Extracting relations from large plain-text collections. In Proceedings of the fifth ACM conference on Digital libraries. 85--94.
[2]
Krisztian Balog and Tom Kenter. 2019. Personal knowledge graphs: A research agenda. In Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval. 217--220.
[3]
Lei Cao, Huijun Zhang, and Ling Feng. 2020. Building and using personal knowledge graph to improve suicidal ideation detection on social media. IEEE Transactions on Multimedia (2020).
[4]
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).
[5]
Amelia Gyrard, Manas Gaur, Saeedeh Shekarpour, Krishnaprasad Thirunarayan, and Amit Sheth. 2018. Personalized health knowledge graph. (2018).
[6]
William P Jones and Jaime Teevan. 2007. Personal information management. Vol. 14. University of Washington Press Seattle.
[7]
David Montoya, Thomas Pellissier Tanon, Serge Abiteboul, Pierre Senellart, and Fabian M Suchanek. 2018. A knowledge base for personal information management. In LDOW@ WWW.
[8]
Seyedmahmoud Talebi, K Manoj, and G Hemantha Kumar. 2019. Building Knowledge Graph Based on User Tweets. In Data Analytics and Learning. Springer, 433--443.

Cited By

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  • (2024)Survey on Fake Information Generation, Dissemination and DetectionChinese Journal of Electronics10.23919/cje.2022.00.36233:3(573-583)Online publication date: May-2024
  • (2024)A Question-Answering Assistant over Personal Knowledge GraphProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657665(2708-2712)Online publication date: 10-Jul-2024
  • (2024)ConvLogRecaller: Real-Time Conversational Lifelog RecallerProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657659(2724-2728)Online publication date: 10-Jul-2024
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  1. PKG: A Personal Knowledge Graph for Recommendation

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    cover image ACM Conferences
    SIGIR '22: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
    July 2022
    3569 pages
    ISBN:9781450387323
    DOI:10.1145/3477495
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 07 July 2022

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    Author Tags

    1. knowledge graph
    2. neural networks
    3. recommendation system
    4. symbolic system

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    Funding Sources

    • the National Key Research and Development Program of China with Grant
    • the Fundamental Research Funds for the Central Universities
    • the National Natural Science Foundation of China with Grant

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    SIGIR '22
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    Overall Acceptance Rate 792 of 3,983 submissions, 20%

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    Cited By

    View all
    • (2024)Survey on Fake Information Generation, Dissemination and DetectionChinese Journal of Electronics10.23919/cje.2022.00.36233:3(573-583)Online publication date: May-2024
    • (2024)A Question-Answering Assistant over Personal Knowledge GraphProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657665(2708-2712)Online publication date: 10-Jul-2024
    • (2024)ConvLogRecaller: Real-Time Conversational Lifelog RecallerProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657659(2724-2728)Online publication date: 10-Jul-2024
    • (2024)Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph DatasetsProceedings of the ACM Web Conference 202410.1145/3589334.3645720(2325-2336)Online publication date: 13-May-2024
    • (2024)Knowledge graph-based recommendation with knowledge noise reduction and data augmentationApplied Intelligence10.1007/s10489-024-05657-x54:21(10333-10359)Online publication date: 13-Aug-2024
    • (2024)Functional Knowledge Graph Towards Knowledge Application and Data Management for General UsersWeb and Big Data10.1007/978-981-97-7235-3_19(287-299)Online publication date: 28-Aug-2024
    • (2024)GraphWiseLearn: Personalized Learning Through Semantified TEL, Leveraging QA-Enhanced LLM-Generated ContentThe Semantic Web: ESWC 2024 Satellite Events10.1007/978-3-031-78955-7_8(74-83)Online publication date: 26-May-2024
    • (2023)Pairwise Intent Graph Embedding Learning for Context-Aware RecommendationProceedings of the 17th ACM Conference on Recommender Systems10.1145/3604915.3608815(588-598)Online publication date: 14-Sep-2023
    • (2023)Query-Aware Explainable Product Search With Reinforcement Knowledge Graph ReasoningIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2023.329733136:3(1260-1273)Online publication date: 24-Jul-2023
    • (2023)DeepApp: characterizing dynamic user interests for mobile application recommendationWorld Wide Web10.1007/s11280-023-01161-326:5(2623-2645)Online publication date: 2-May-2023
    • Show More Cited By

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