短剧平台综合价值评估数据

本数据通过“用户活跃度 - 内容传播效率 - 运营成本”三维指标融合与动态加权，构建了可量化、可追踪的短剧平台综合价值评估体系，为内外部利益相关方提供直观的价值等级判断与优化抓手。对公司（作为软件开发商）而言，本数据有助于快速识别平台价值，从而驱动资源优化与业务效能提升，例如技术团队可针对“高”等级日的高峰时段调整服务器资源分配策略。对外部相关方而言，通过数据的共享公开，有助于增强用户对平台稳定性的信任，为投资机构提供了长期价值趋势的评估依据，帮助云服务供应商优化资源配置方案，并为第三方评测机构提供行业竞争力对标标尺。1.数据采集和预处理：（1）数据采集：从短剧平台日志中采集反映平台每日使用情况数据，包括采集日期、视频播放次数/次、用户互动总量（点赞 + 评论 + 分享）/个、当日总存储资源消耗（GB小时）、高峰时段（18:00-24:00）内视频播放次数/次等字段。（2）数据预处理：清洗数据，剔除异常值及重复记录。
2.计算用户互动效率：用户互动效率 = 用户互动总量 / 视频播放次数 × 100%。
3.计算资源利用效率：资源利用效率 = 用户互动总量 / 当日总存储资源消耗 × 100%。
4.引入时段因子q：若高峰时段（18:00-24:00）内视频播放次数/ 视频播放次数 > 0.5，则q为1.3，否则q为1。
5.计算加权播放次数：加权播放次数 = 视频播放次数 × q。
6.计算综合价值指数：综合价值指数=加权播放次数 × 0.5 + 用户互动效率 × 0.3 + 资源利用效率 × 0.2。
7.综合价值评估：若综合价值指数≥1000，则评估为“高”，若500≤综合价值指数＜1000，则评估为“中”，若综合价值指数＜500，则评估为“低”。

This dataset constructs a quantifiable and traceable comprehensive value evaluation system for short-form drama platforms through the fusion and dynamic weighting of three-dimensional indicators: user activity, content dissemination efficiency, and operating cost, providing intuitive value grade judgment and optimization leverage for both internal and external stakeholders. For the company (as a software developer), this dataset helps quickly identify the platform's value, thereby driving resource optimization and business efficiency improvement. For example, the technical team can adjust server resource allocation strategies according to the peak hours of "High" grade days. For external stakeholders, the shared and public disclosure of this data helps enhance users' trust in the platform's stability, provides evaluation basis for investment institutions on long-term value trends, assists cloud service providers in optimizing resource allocation plans, and offers industry competitiveness benchmarking standards for third-party evaluation institutions. 1. Data Collection and Preprocessing: (1) Data Collection: Collect data reflecting the daily usage status of the short-form drama platform from its logs, including fields such as collection date, number of video plays, total user interactions (likes + comments + shares), total daily storage resource consumption (GB·hours), and number of video plays during peak hours (18:00-24:00). (2) Data Preprocessing: Clean the data and remove outliers and duplicate records. 2. Calculate User Interaction Efficiency: User Interaction Efficiency = Total User Interactions / Number of Video Plays × 100%. 3. Calculate Resource Utilization Efficiency: Resource Utilization Efficiency = Total User Interactions / Total Daily Storage Resource Consumption × 100%. 4. Introduce the time period factor q: If the ratio of video plays during peak hours (18:00-24:00) to total video plays > 0.5, then q = 1.3; otherwise, q = 1. 5. Calculate Weighted Play Count: Weighted Play Count = Number of Video Plays × q. 6. Calculate Comprehensive Value Index: Comprehensive Value Index = Weighted Play Count × 0.5 + User Interaction Efficiency × 0.3 + Resource Utilization Efficiency × 0.2. 7. Comprehensive Value Evaluation: If the Comprehensive Value Index ≥ 1000, it is rated as "High"; if 500 ≤ Comprehensive Value Index < 1000, it is rated as "Medium"; if Comprehensive Value Index < 500, it is rated as "Low".

搜集汇总

背景与挑战

背景概述

该数据集包含515条CSV格式记录，用于短剧平台的综合价值评估，通过视频播放次数、用户互动总量和资源消耗等指标计算综合价值指数，并分为高、中、低等级。其特点在于融合用户活跃度、内容传播效率和运营成本三维指标，提供动态加权评估体系，支持内部资源优化和外部投资决策。