mlsanityData to 7 Oct 2026

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

arXiv 1801.05032 ↗First posted 12 Jan 2018cs.CL cs.AIcited by 26

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Abstract (arXiv)

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.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Jan 2018.

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Citing papers per year: 2021: 9; 2022: 5; 2023: 6; 2024: 2; 2025: 3; 2026: 1.

26 papers.

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  1. 2021ConE: Cone Embeddings for Multi-Hop Reasoning over Knowledge Graphscited by 78
  2. 2021Structural Pre-training for Dialogue Comprehensioncited by 20
  3. 2021Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbotscited by 14
  4. 2021Enhanced Speaker-aware Multi-party Multi-turn Dialogue Comprehensioncited by 13
  5. 2022Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graphcited by 13
  6. 2021Learning Implicit User Profiles for Personalized Retrieval-Based Chatbotcited by 12
  7. 2021Multi-turn Dialogue Reading Comprehension with Pivot Turns and Knowledgecited by 10
  8. 2023Product Question Answering in E-Commerce: A Surveycited by 10
  9. 2023xPQA: Cross-Lingual Product Question Answering across 12 Languagescited by 10
  10. 2023Marrying Dialogue Systems with Data Visualization: Interactive Data Visualization Generation from Natural Language Conversationscited by 9
  11. 2024A Survey of Ontology Expansion for Conversational Understandingcited by 6
  12. 2021Conversational Query Rewriting with Self-supervised Learningcited by 5
14 more
  1. 2021Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learningcited by 3
  2. 2021K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answeringcited by 2
  3. 2024Introducing Brain-like Concepts to Embodied Hand-crafted Dialog Management Systemcited by 2
  4. 2022Convex Polytope Modelling for Unsupervised Derivation of Semantic Structure for Data-efficient Natural Language Understandingcited by 1
  5. 2022A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Examplecited by 1
  6. 2022Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrievalcited by 1
  7. 2023Improve Retrieval-based Dialogue System via Syntax-Informed Attentioncited by 1
  8. 2023Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generationcited by 1
  9. 2026Learning from Online User Feedback for Shopping Agentscited by 1
  10. 2022Precognition in Task-oriented Dialogue Understanding: Posterior Regularization by Future Contextcited by 0
  11. 2023Channel-aware Decoupling Network for Multi-turn Dialogue Comprehensioncited by 0
  12. 2025Modeling shopper interest broadness with entropy-driven dialogue policy in the context of arbitrarily large product catalogscited by 0
  13. 2025Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systemscited by 0
  14. 2025DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QAcited by 0