mlsanityData to 14 Oct 2026

Intention Knowledge Graph Construction for User Intention Relation Modeling

arXiv 2412.11500 ↗First posted 16 Dec 2024cs.CL cs.AIcited by 6

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Abstract (arXiv)

Understanding user intentions is challenging for online platforms. Recent work on intention knowledge graphs addresses this but often lacks focus on connecting intentions, which is crucial for modeling user behavior and predicting future actions. This paper introduces a framework to automatically generate an intention knowledge graph, capturing connections between user intentions. Using the Amazon m2 dataset, we construct an intention graph with 351 million edges, demonstrating high plausibility and acceptance. Our model effectively predicts new session intentions and enhances product recommendations, outperforming previous state-of-the-art methods and showcasing the approach's practical utility.

Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 35 of its 58 references that are in the map. First posted on arXiv 16 Dec 2024.

Builds on

35 of 58 references.

References · 35

  1. 2018Self-Attentive Sequential Recommendationcited by 1,184
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  12. 2023Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generationcited by 42
23 more
  1. 2021Non-invasive Self-attention for Side Information Fusion in Sequential Recommendationcited by 39
  2. 2021AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Searchcited by 38
  3. 2022CORE: Simple and Effective Session-based Recommendation within Consistent Representation Spacecited by 37
  4. 2023Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databasescited by 35
  5. 2021AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibabacited by 33
  6. 2022The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimizationcited by 29
  7. 2023CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answeringcited by 28
  8. 2024CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoningcited by 28
  9. 2021DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledgecited by 26
  10. 2023CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoningcited by 25
  11. 2022Query2Particles: Knowledge Graph Reasoning with Particle Embeddingscited by 24
  12. 2020AliCoCo: Alibaba E-commerce Cognitive Concept Netcited by 23
  13. 2022FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discoverycited by 23
  14. 2023Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraintscited by 21
  15. 2023Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generationcited by 19
  16. 2023AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graphcited by 17
  17. 2020AliMe KG: Domain Knowledge Graph Construction and Application in E-commercecited by 16
  18. 2023Sequential Query Encoding For Complex Query Answering on Knowledge Graphscited by 13
  19. 2023Knowledge Graph Reasoning over Entities and Numerical Valuescited by 11
  20. 2023Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patternscited by 11
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  23. 2024Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphscited by 4

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 4; 2026: 2.

6 papers.

  1. 2025AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corporacited by 23
  2. 2025Top Ten Challenges Towards Agentic Neural Graph Databasescited by 13
  3. 2025EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Associationcited by 10
  4. 2025SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understandingcited by 6
  5. 2026SING: Synthetic Intention Graph for Scalable Active Tool Discovery in LLM Agentscited by 4
  6. 2026Neural Scalable Symbolic Search Framework for Complex Logical Queries with Multiple Free Variablescited by 0