路由用户兴趣马尔科夫树可扩展的个性化知识意识建议.
概括
基于知识树的UseR-Interest轨迹网络 (KURIT-Net) 通过使用知识图 (KGs) 和用户兴趣马尔科夫树 (UIMTs) 来增强建议. 这种方法通过有效地路由知识和总结推理路径,提供准确,可解释的建议.
科学领域:
- 人工智能的人工智能
- 数据科学数据科学数据科学
- 推系统是一个推系统.
背景情况:
- 整合副信息,特别是来自知识图 (KG),对于准确和可解释的建议至关重要.
- 现有的基于KG的推算法面临着可扩展性挑战,原因是高成本的,逐步跳跃的路径列举策略.
- 现实世界数据图的扩展规模需要更高效的KG利用方法.
研究的目的:
- 提出一个端到端的框架,KURIT-Net,它克服了传统基于KG的推方法的计算和可扩展性的局限性.
- 开发一种新的方法,在KG中平衡知识的路由,跨越短距离和长距离关系.
- 通过生成人类可读的推理路径来提高推的解释性.
主要方法:
- 引入了以知识树为路由的UseR-Interest轨迹网络 (KURIT-Net) 框架.
- 使用用户兴趣的马尔科夫树 (UIMTs) 来重新配置基于建议的KG.
- 使用实体和关系轨迹嵌入 (RTE) 来总结推理路径并反映用户的兴趣.
主要成果:
- 库里特网络有效地平衡了实体之间的知识路由,适应了近距离和远距离的关系.
- 该框架成功地总结了KG中的所有推理路径,充分捕捉了潜在的用户兴趣.
- 在六个公共数据集上进行了广泛的实验,证明KURIT-Net显著优于最先进的方法.
结论:
- 库里特网络为基于KG的推系统提供了一个可扩展和计算高效的解决方案.
- 拟议的方法提供了准确的建议,并增强了可解释性.
- 用户感兴趣的马尔科夫树 (UIMTs) 有效地指导知识路由,以提高推质量.
相关概念视频
Phylogenetic Trees
45.7K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
45.7K
The Representativeness Heuristic
15.8K
The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
15.8K
Survival Tree
123
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
123
Optimal Foraging
12.2K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.2K
Outliers and Influential Points
4.1K
An outlier is an observation of data that does not fit the rest of the data. It is sometimes called an extreme value. When you graph an outlier, it will appear not to fit the pattern of the graph. Some outliers are due to mistakes (for example, writing down 50 instead of 500), while others may indicate that something unusual is happening. Outliers are present far from the least squares line in the vertical direction. They have large "errors," where the "error" or residual is the...
4.1K
Heuristics
113
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
113


