Data Analytics Visualisation Engine (DAVE) Phase 2
Data Analytics Visualisation Engine (DAVE) Phase 2
批准号:
10065621
负责人:
金额:
$3.82万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --
中文摘要
DAVE项目是Mediaworks开发的数据分析和可视化引擎。在创建的第一阶段,Mediaworks已经创建了一个平台,可以从各种内部系统和外部来源收集数据,并可扩展地将这些数据统一到我们的数据存储中。为机构内的所有报告和工具提供支持。在项目的下一步发展中,Mediaworks的目标是开发和部署一套智能模型,以产生大规模的独特见解。第一阶段将集中在三个主要领域:关键词聚类和分类、意图分类和主题相关性。关键字聚类和分类将涉及根据关键字的含义和与特定主题的相关性,从网络结构或业务流程确定分组关键字。意图分类将侧重于理解用户搜索行为背后的意图,基于该业务和该市场的背景。主题相关性将确定内容或数据与特定主题或主题的相关性,有助于从内容创建到PR活动的所有活动的相关性。该项目还将包括在自定义用户友好门户中为内部用户和最终用户创建工具和仪表板。这个项目极具创新性和雄心壮志,我们认为在代理领域是独一无二的。
英文摘要
The DAVE project is a Data Analytics and Visualization Engine developed by Mediaworks.In the first phase of the creation, Mediaworks have already created a platform that collects data from various internal systems and external sources and scalably unifies these into our data store. Powering all reporting and tooling within the agency.During the next evolution of the project, Mediaworks aim to develop and deploy a suite of intelligent models to generate unique insights at scale. The first phase will focus on three main areas: keyword clustering and categorisation, intent classification, and topical relevance.Keyword clustering and categorisation will involve grouping keywords based on their meaning and relevance to specific topics, determined from a web structure or business flow. Intent classification will focus on understanding the intention behind a user's search behaviour, based on the context of that business and that market. Topical relevance will determine the relevance of a piece of content or data to a specific topic or theme, aiding in the relevance of all activity from content creation to PR activity.The project will also include creating tooling and dashboards in the custom user-friendly portal for both internal users and end users. This project is highly innovative and ambitious, and something that we believe to be unique in the agency landscape.
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