图 书 馆
学习行为成功的多类型项目集嵌入Multi-Type Itemset Embedding for Learning Behaviour Success |
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| 课程网址: | http://videolectures.net/kdd2018_wang_multi-type_success/ |
| 主讲教师: | Daheng Wang |
| 开课单位: | 圣母大学 |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Contextual behavior modeling uses data from multiple contexts to discover patterns for predictive analysis. However, existing behavior prediction models often face di culties when scaling for massive datasets. In this work, we formulate a behavior as a set of context items of di erent types (such as decision makers, operators, goals and resources), consider an observable itemset as a behavior success, and propose a novel scalable method, “multi-type itemset embedding”, to learn the context items’ representations preserving the success structures. Unlike most of existing embedding methods that learn pair-wise proximity from connection between a behavior and one of its items, our method learns item embeddings collectively from interaction among all multi-type items of a behavior, based on which we develop a novel framework, LearnSuc, for (1) predicting the success rate of any set of items and (2) nding complementary items which maximize the probability of success when incorporated into an itemset. Extensive experiments demonstrate both e ectiveness and e cency of the proposed framework. |
| 关 键 词: | 情境行为建模; 多个情境的数据; 发现预测分析的模式; 新的框架Learnsc |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-02-03：cyh |
| 最后编审: | 2023-02-03：cyh |
| 阅读次数: | 29 |