Proof of concept: Development, testing and implementation of a collaborative filtering recommendation algorithm to drive engagement with art and culture events

概念验证：开发、测试和实施协作过滤推荐算法，以推动艺术和文化活动的参与

• 批准号: 10063112
• 金额: $ 6.37万
• 依托单位: THEFOMOAPP LTD
• 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
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10063112
• 关键词: Proof; concept; Development; testing; implementation

La Fomo is a subscription app for curated and personalised art and culture event recommendations. We uncover venues our users would not have heard of otherwise with a focus on alternative and thought-provoking shows. We combine hand-picked curation with a personalisation algorithm to make the most pertinent recommendations to our users.The scope of this project is to develop, test and implement our recommendation algorithm. Our objective is to demonstrate that hyper-personalised recommendations can drive higher conversion to ticket purchasing and lead to greater users' satisfaction. Such tools have been used in the entertainment event industry with more mainstream events and larger venues, but is yet to benefit smaller art and culture venues which do not have the resources to invest in expensive digital technologies.

La Fomo是一款订阅应用程序，提供精心策划和个性化的艺术和文化活动推荐。我们发现了我们的用户否则不会听说的场所，专注于另类和发人深省的节目。我们将精心挑选的推荐与个性化算法相结合，为用户提供最中肯的推荐。这个项目的范围是开发、测试和实现我们的推荐算法。我们的目标是证明，超个性化的推荐可以推动更高的门票购买转化率，并带来更大的用户满意度。此类工具已被用于拥有更多主流活动和更大场馆的娱乐活动行业，但尚未惠及规模较小的艺术和文化场馆，这些场馆没有资源投资于昂贵的数字技术。