• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 160 matches

• 2020
• 
  Wenbin Gan, Yuan Sun, Xian Peng, Yi Sun:
  Modeling learner's dynamic knowledge construction procedure and cognitive item difficulty for knowledge tracing. Appl. Intell. 50(11): 3894-3912 (2020)
• 
  Xuan Liu, Shiting Wen, Wanli Zuo:
  Effective sanitization approaches to protect sensitive knowledge in high-utility itemset mining. Appl. Intell. 50(1): 169-191 (2020)
• 
  Enrico Palumbo, Diego Monti, Giuseppe Rizzo, Raphaël Troncy, Elena Baralis:
  entity2rec: Property-specific knowledge graph embeddings for item recommendation. Expert Syst. Appl. 151: 113235 (2020)
• 
  Vicente Prado-Gascó, Nabil Amara, Julia Olmos-Peñuela:
  Measuring knowledge spillovers transfer from scholars in business schools: validation of a multiple-item scale. J. Knowl. Manag. 24(3): 635-654 (2020)
• 
  Debra Pugh, André De Champlain, Mark Gierl, Hollis Lai, Claire Touchie:
  Can automated item generation be used to develop high quality MCQs that assess application of knowledge? Res. Pract. Technol. Enhanc. Learn. 15(1): 12 (2020)
• 
  Wenjing Meng, Deqing Yang, Yanghua Xiao:
  Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation. SIGIR 2020: 1091-1100
• 
  Chenyang Wang, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
  Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. SIGIR 2020: 109-118
• 
  Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
  Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. WWW 2020: 740-751
• 
  Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen:
  Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning. CoRR abs/2003.12718 (2020)
• 
  Susen Yang, Yong Liu, Yonghui Xu, Chunyan Miao, Min Wu, Juyong Zhang:
  Contextualized Graph Attention Network for Recommendation with Item Knowledge Graph. CoRR abs/2004.11529 (2020)
• 
  Wenjing Meng, Deqing Yang, Yanghua Xiao:
  Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation. CoRR abs/2006.06922 (2020)
• 2019
• 
  Catarina Vales, Anna V. Fisher:
  When Stronger Knowledge Slows You Down: Semantic Relatedness Predicts Children's Co-Activation of Related Items in a Visual Search Paradigm. Cogn. Sci. 43(6) (2019)
• 
  Gwo-Haur Hwang, Beyin Chen, Ru-Shan Chen, Ting-Ting Wu, Yu-Ling Lai:
  Differences between students' learning behaviors and performances of adopting a competitive game-based item bank practice approach for learning procedural and declarative knowledge. Interact. Learn. Environ. 27(5-6): 740-753 (2019)
• 
  Shuyou Zhang, Ye Gu, Guodong Yi:
  A Hybrid Knowledge Push Method Based on Trust-Aware and Item-Cluster Oriented to Product Design. New Gener. Comput. 37(3): 339-357 (2019)
• 
  Deqing Yang, Ziyi Wang, Junyang Jiang, Yanghua Xiao:
  Knowledge embedding towards the recommendation with sparse user-item interactions. ASONAM 2019: 325-332
• 
  Chun-Kit Yeung:
  Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory. EDM 2019
• 
  Donmoon Lee, Jaejun Lee, Jeongsoo Park, Kyogu Lee:
  Enhancing Music Features by Knowledge Transfer from User-item Log Data. ICASSP 2019: 386-390
• 
  Wenbin Gan, Yuan Sun, Shiwei Ye, Ye Fan, Yi Sun:
  Field-Aware Knowledge Tracing Machine by Modelling Students' Dynamic Learning Procedure and Item Difficulty. ICDM Workshops 2019: 1045-1046
• 
  Gian Piero Zarri:
  Use of a Knowledge Patterns-Based Tool for Dealing With the "Narrative Meaning" of Complex Iconographic Cultural Heritage Items. VIPERC@IRCDL 2019: 25-38
• 
  Chunjing Xiao, Cong Xie, Shuyan Cao, Yuxiang Zhang, Wei Fan, Hongjun Heng:
  A Better Understanding of the Interaction Between Users and Items by Knowledge Graph Learning for Temporal Recommendation. PRICAI (1) 2019: 135-147
• 
  Benjamin Xie, Matthew J. Davidson, Min Li, Amy J. Ko:
  An Item Response Theory Evaluation of a Language-Independent CS1 Knowledge Assessment. SIGCSE 2019: 699-705
• 
  Jiansheng Fang, Qingshun Guo, Huiyou Chang, Ming Yang, Wei Zhao, Yan Qin:
  Knowledge Recommendation Based on Item Response Theory. SKG 2019: 1-7
• 
  Nikolaj Tatti, Michael Mampaey:
  Using Background Knowledge to Rank Itemsets. CoRR abs/1902.03102 (2019)
• 
  Donmoon Lee, Jaejun Lee, Jeongsoo Park, Kyogu Lee:
  Enhancing Music Features by Knowledge Transfer from User-item Log Data. CoRR abs/1903.02794 (2019)
• 
  Chun-Kit Yeung:
  Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory. CoRR abs/1904.11738 (2019)
• 
  (Withdrawn) SCEF: A Support-Confidence-aware Embedding Framework for Knowledge Graph Refinement. CoRR abs/1902.06377 (2019)
• 
  (Withdrawn) Parallel Medical Imaging: A New Data-Knowledge-Driven Evolutionary Framework for Medical Image Analysis. CoRR abs/1903.04855 (2019)
• 
  (Withdrawn) Group Representation Theory for Knowledge Graph Embedding. CoRR abs/1909.05100 (2019)
• 
  (Withdrawn) Word Sense Disambiguation using Knowledge-based Word Similarity. CoRR abs/1911.04015 (2019)
• 
  (Withdrawn) Drivers' Awareness, Knowledge, and Use of Autonomous Driving Assistance Systems (ADAS) and Vehicle Automation. CoRR abs/1911.10920 (2019)

skipping 130 more matches