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AliCoCo: Alibaba E-commerce Cognitive Concept Net

Published: 31 May 2020 Publication History
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  • Abstract

    One of the ultimate goals of e-commerce platforms is to satisfy various shopping needs for their customers. Much efforts are devoted to creating taxonomies or ontologies in e-commerce towards this goal. However, user needs in e-commerce are still not well defined, and none of the existing ontologies has the enough depth and breadth for universal user needs understanding. The semantic gap in-between prevents shopping experience from being more intelligent. In this paper, we propose to construct a large-scale E-commerce Cognitive Concept Net named "AliCoCo", which is practiced in Alibaba, the largest Chinese e-commerce platform in the world. We formally define user needs in e-commerce, then conceptualize them as nodes in the net. We present details on how AliCoCo is constructed semi-automatically and its successful, ongoing and potential applications in e-commerce.

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    cover image ACM Conferences
    SIGMOD '20: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data
    June 2020
    2925 pages
    ISBN:9781450367356
    DOI:10.1145/3318464
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    Publication History

    Published: 31 May 2020

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    Author Tags

    1. concept net
    2. e-commerce
    3. user needs

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    • (2024)JDivPS: A Diversified Product Search DatasetProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657888(1152-1161)Online publication date: 10-Jul-2024
    • (2024)Investigating the Challenges and Prospects of Construction Models for Dynamic Knowledge GraphsIEEE Access10.1109/ACCESS.2024.337851412(40973-40988)Online publication date: 2024
    • (2024)A Simple yet Effective Framework for Active Learning to RankMachine Intelligence Research10.1007/s11633-023-1422-z21:1(169-183)Online publication date: 15-Jan-2024
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    • (2023)Construction of recipe knowledge graph based on user knowledge demandsJournal of Information Science10.1177/01655515221151139(016555152211511)Online publication date: 2-Feb-2023
    • (2023)KATIE: A System for Key Attributes Identification in Product Knowledge Graph ConstructionProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591846(3320-3324)Online publication date: 19-Jul-2023
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