基于地理标记的社交网络潜在兴趣分析在广告推荐中的应用

Proceedings of the 28th International Conference on Advances in Geographic Information Systems Pub Date : 2020-11-03 DOI:10.1145/3397536.3428351

Takanobu Omura, Yukiko Kawai, Shinsuke Nakajima, Kenta Suzuki

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引用次数: 0

摘要

针对移动用户的广告(ad)推荐服务正在迅速增加。传统的广告推荐方式是基于用户的显式行为分析，如搜索关键词和基于浏览历史的关键词匹配。然而，它可能对潜在买家不够有效。我们一直致力于分析用户对网页浏览历史的潜在兴趣，并对积极和消极行为进行分类。在本文中，我们使用地理标记推文将链接页面的方法应用于现实世界的位置。通过多次评估，我们讨论了根据用户当前位置推荐广告的可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Proposal of Latent Interest Analysis by Geo-tagged SNS for Advertisement Recommendation

advertisement (ad) recommendation services for mobile users is rapidly increasing. The conventional ways of recommending ads are based on the analysis of users' explicit behavior such as search keywords and keyword matching based on browsing history. However, it might not be effective enough for latent buyers. We have been working on an analysis of the user's latent interest on web browsing history which categorized positive and negative behaviors. In this paper, we adapt the method of the linked pages to real world locations using geo-tagged tweets. By several evaluations, we discuss the possibility to recommend ads according to the user's current location.

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Proceedings of the 28th International Conference on Advances in Geographic Information Systems

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