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AliMe Assist : An Intelligent Assistant for Creating an Innovative E-commerce Experience

Published: 06 November 2017 Publication History

Abstract

We present AliMe Assist, an intelligent assistant designed for creating an innovative online shopping experience in E-commerce. Based on question answering (QA), AliMe Assist offers assistance service, customer service, and chatting service. It is able to take voice and text input, incorporate context to QA, and support multi-round interaction. Currently, it serves millions of customer questions per day and is able to address 85% of them. In this paper, we demonstrate the system, present the underlying techniques, and share our experience in dealing with real-world QA in the E-commerce field.

References

[1]
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015. Neural Machine Translation by Jointly Learning to Align and Translate ICLR'15.
[2]
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2016. Enriching Word Vectors with Subword Information. arXiv preprint (2016).
[3]
Jeffrey Dean and Sanjay Ghemawat. 2008. MapReduce: simplified data processing on large clusters. Commun. ACM Vol. 51, 1 (2008), 107--113.
[4]
Matthew Henderson. 2015. Machine Learning for Dialog State Tracking: A Review MLSLP'15.
[5]
Yoon Kim. 2014. Convolutional neural networks for sentence classification. arXiv preprint (2014).
[6]
Quoc V Le and Tomas Mikolov. 2014. Distributed Representations of Sentences and Documents. ICML, Vol. Vol. 14. 1188--1196.
[7]
Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, and Wei Chu AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine ACL'17.
[8]
Iulian Vlad Serban, Alessandro Sordoni, Yoshua Bengio, Aaron C. Courville, and Joelle Pineau. 2016. Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models AAAI'16. 3776--3784.
[9]
Yiping Song, Rui Yan, Xiang Li, Dongyan Zhao, and Ming Zhang. 2016. Two are Better than One: An Ensemble of Retrieval- and Generation-Based Dialog Systems. arxiv preprint.
[10]
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014. Sequence to Sequence Learning with Neural Networks NIPS'14. 3104--3112.
[11]
Oriol Vinyals and Quoc V. Le. 2015. A Neural Conversational Model. In ICML DL Workshop'15.
[12]
Tsung-Hsien Wen, Milica Gasic, Nikola Mrksic, Lina M Rojas-Barahona, Pei-Hao Su, Stefan Ultes, David Vandyke, and Steve Young. 2016. A network-based end-to-end trainable task-oriented dialogue system. arXiv preprint.
[13]
Yu Wu, Wei Wu, Ming Zhou, and Zhoujun Li. 2016. Sequential Match Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots. arXiv preprint (2016).
[14]
Rui Yan, Yiping Song, and Hua Wu. 2016 b. Learning to Respond with Deep Neural Networks for Retrieval-Based Human-Computer Conversation System. In SIGIR'16. 55--64.
[15]
Zhao Yan, Nan Duan, Jun-Wei Bao, Peng Chen, Ming Zhou, Zhoujun Li, and Jianshe Zhou. 2016 a. DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents ACL'16.

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      cover image ACM Conferences
      CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
      November 2017
      2604 pages
      ISBN:9781450349185
      DOI:10.1145/3132847
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      Published: 06 November 2017

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      Author Tags

      1. convolutional neural network
      2. knowledge graph
      3. question answering
      4. rerank
      5. semantic normalization
      6. sequence-to-sequence

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      • (2024)Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge GraphsProceedings of the ACM Web Conference 202410.1145/3589334.3645569(2149-2158)Online publication date: 13-May-2024
      • (2024)Channel-Aware Decoupling Network for Multiturn Dialog ComprehensionIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2022.322004735:6(7685-7696)Online publication date: Jun-2024
      • (2024)Business chatbots with deep learning technologies: state-of-the-art, taxonomies, and future research directionsArtificial Intelligence Review10.1007/s10462-024-10744-z57:5Online publication date: 11-Apr-2024
      • (2023)Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context DistillationACM Transactions on Information Systems10.1145/358470141:4(1-27)Online publication date: 16-Feb-2023
      • (2023)CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long ContextsProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3614812(25-35)Online publication date: 21-Oct-2023
      • (2023)Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level GenerationProceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3539618.3591832(3255-3259)Online publication date: 19-Jul-2023
      • (2023)A Background Knowledge Revising and Incorporating Dialogue ModelIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2021.312312834:8(3874-3884)Online publication date: Aug-2023
      • (2023)A Deep Reinforcement Learning Algorithm Suitable for Autonomous Vehicles: Double Bootstrapped Soft-Actor–Critic-DiscreteIEEE Transactions on Cognitive and Developmental Systems10.1109/TCDS.2021.309271515:4(2041-2052)Online publication date: Dec-2023
      • (2023)Towards Intelligent Training Systems for Customer Service2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC53992.2023.10394182(987-992)Online publication date: 1-Oct-2023
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