基于意图分解和异质信息融合的推模型
Suqi Zhang1, Xinxin Wang2, Wenfeng Wang2
1School of information engineering, Tianjin University of Commerce, Tianjin 300134, China.
Mathematical biosciences and engineering : MBE
|November 3, 2023
概括
本研究引入了一种新的推模型,通过分解意图和融合异构信息来增强用户和项目表示. 拟议的模型显著提高了推准确性和效率.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 解决用户与项目交互数据中的及时性和噪音对于有效的推系统至关重要.
- 现有的方法难以从各种数据源中捕获短期用户意图和长期用户/项目特征.
研究的目的:
- 提出一个建议模型,意图分解和异质信息融合 (IDHIF),可以克服及时性和数据噪声的限制.
- 通过有效地整合来自用户与项目交互,社交网络和知识图的信息来增强用户和项目表示.
主要方法:
- 分解用户和项目交互的意图,以使用长期短期记忆 (LSTM) 和注意力机制提取短期特征表示.
- 采用异质信息融合来挖掘用户-项目交互图,社会图和知识图中的交互,社交和内容特征.
- 通过拼接和多层感知子结合短期和长期特征表示,生成丰富的用户和项目向量.
主要成果:
- 在Last.FM和Movielens-1M数据集上,IDHIF模型显示了与基线模型相比的显著改进.
- 在AUC (1.83-4.03%),F1得分 (1.28-1.58%) 和Remember@20 (2.90-3.96%) 中取得了增加.
- 该模型有效地丰富了用户和项目向量表示,从而提高了推性能.
结论:
- 拟议的IDHIF模型通过整合多种信息来源,提供了一种优越的方法来建模用户和项目特征.
- 该方法有效地解决了及时性和噪声的挑战,从而提高了推的效率和准确性.
- 这项工作通过复杂的特征表示和信息融合技术,有助于推系统的进步.
相关概念视频
Stereotype Content Model
14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K
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
Compartment Models: Two-Compartment Model
5.6K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
5.6K
Reason and Intuition
6.5K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.5K
Inductive Reasoning
60.5K
Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
60.5K
Decision Making: P-value Method
5.4K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.4K


