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是一个订阅应用程序，用于策划和个性化的艺术和文化活动推荐。我们发现我们的用户不会听说过的场地，专注于替代和发人深省的节目。我们将联合收割机精选的精选与个性化算法相结合，为我们的用户提供最相关的推荐。该项目的范围是开发、测试和实施我们的推荐算法。我们的目标是证明超个性化推荐可以提高购票转化率，并提高用户满意度。这些工具已用于娱乐活动行业，拥有更多的主流活动和更大的场地，但尚未惠及没有资源投资于昂贵的数字技术的较小的艺术和文化场地。