现代主题展览参观人员参观偏好分析数据

通过分析参观人员对现代主题展览的偏好指数，再整合参观者的基本信息，构建观众画像，为展览主办方提供更加全面的观众信息。如某些观众对这一主题展览参观偏好指数高，后续再举办同类型展览时，可以优先推送相关宣传信息。展览主办方可以更加精准地定位目标受众、制定有效的市场推广策略、提供个性化的服务。
（1）数据采集：通过参展问卷收集参观人员的相关信息，包括展览停留时间、展品互动次数及是否有购买行为的数据，并生成每个人对应的参观人员id。（2）数据处理：对采集到的数据进行降噪、清洗。将处理后的数据按照如下算法公式进行运算。当参观人员有购买行为时，参观偏好指数=展览停留时间（分钟）*0.1*0.3+展品互动次数*0.3+1*0.4；没有购买行为时，参观偏好指数=展览停留时间（分钟）*0.1*0.3+展品互动次数*0.3+0*0.4。（3）数据应用：通过深入分析这些数据，我们可以更好地了解参观人员的对现代主题展览的需求和偏好，为未来的展览策划和推广提供有力支持。

This dataset constructs audience profiles by analyzing visitors' preference indices for modern theme exhibitions and integrating their basic information, providing exhibition organizers with comprehensive audience insights. For instance, if certain visitors have a high preference index for a specific theme exhibition, relevant promotional information can be prioritized for distribution when similar exhibitions are held in the future. This enables exhibition organizers to accurately pinpoint their target audience, develop effective marketing strategies, and provide personalized services.

(1) Data Collection: Relevant information of visitors is collected via exhibition questionnaires, including their exhibition stay duration, number of interactions with exhibits, and purchase behavior data, and a unique visitor ID is generated for each individual.
(2) Data Processing: The collected data is denoised and cleaned. The processed data is calculated using the following algorithm formula:
- For visitors who have made a purchase: Visit Preference Index = (Exhibition Stay Duration in minutes) × 0.1 × 0.3 + Number of Exhibit Interactions × 0.3 + 1 × 0.4
- For visitors who have not made any purchase: Visit Preference Index = (Exhibition Stay Duration in minutes) × 0.1 × 0.3 + Number of Exhibit Interactions × 0.3 + 0 × 0.4
(3) Data Application: Through in-depth analysis of this dataset, we can better understand the needs and preferences of visitors towards modern theme exhibitions, providing strong support for future exhibition planning and promotion.

搜集汇总

数据集介绍

特点

该数据集包含779条记录，记录了参观现代主题展览的人员的展览停留时间、展品互动次数及购买行为等信息，并通过特定算法计算参观偏好指数。数据每年更新一次，用于帮助展览主办方构建观众画像，精准定位目标受众和制定市场推广策略。