CIPL:反事实互动政策学习消除在线推的受欢迎偏见
IEEE transactions on neural networks and learning systems
|August 16, 2023
概括
本研究引入了一种新的反事实互动政策学习 (CIPL) 方法,用于打击在线推系统中的受欢迎偏见. 通过考虑时间动态,CIPL有效地减轻了交互场景中的偏差放大.
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:
- 人气偏差在推系统 (RS) 中是一个持续的问题,特别是在在线交互环境中,偏差放大被反循环加剧.
- 现有的研究主要针对离线推,经常忽视在线交互系统至关重要的时间依赖.
研究的目的:
- 提出一种新的方法,即反事实互动政策学习 (CIPL),用于消除在线推场景中的受欢迎偏见.
- 通过将时间依赖性纳入交互式推系统来解决静态因果分析的局限性.
主要方法:
- 制定一种新的时间因果图 (TCG),以建模因果关系,并在交互式推模型中指导反事实推断.
- 开发CIPL方法,使用演员关键框架和在线交互式环境模拟器进行培训.
- 在每个交互步骤中估计项目受欢迎程度对预测得分的因果关系,并在测试阶段消除受欢迎程度偏差.
主要成果:
- 在三个公共基准上进行了广泛的实验,证明了拟议的CIPL方法的有效性.
- 在线交互推系统中,CIPL方法在消除人气偏差方面实现了最先进的性能.
- 时间因果图 (TCG) 成功捕捉并解释时间依赖性,改善偏差缓解.
结论:
- 拟议的CIPL方法为在动态的在线推环境中解决人气偏见提供了强大的解决方案.
- 整合时间因果图对于准确建模和缓解交互式系统中的偏差至关重要.
- 这项研究通过解决现实世界应用中的关键挑战,推动了公平有效的推系统领域的发展.
相关概念视频
01:12Hindsight Biases
3.4K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now?
3.4K
01:13Randomized Experiments
7.0K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
Simple randomization
Simple...
7.0K
01:31Confirmation Biases
5.5K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
5.5K
00:52Social Proof
27.7K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
27.7K
01:22Bias
4.3K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.3K
02:06Social Exchange Theory
34.6K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
34.6K