基于地图操作和品类选择的用户兴趣模型地理推荐系统

Kenta Oku, Rika Kotera, D. Kitayama, K. Sumiya
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引用次数: 6

摘要

数码地图服务和地理信息搜索服务在互联网上广泛提供。用户可以使用特定的地图操作和类别选择方法从数字地图中检索适当的地理信息。然而,当地图区域包含大量信息时,用户很难找到特定的地理信息。此外,用户对某个地区或类别的兴趣可能会发生变化。因此,作者提出了一种基于用户的地图操作或类别选择历史向用户推荐地理信息的方法。作者开发了一个模型来确定用户的兴趣,并用它来推荐合适的地区和类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geographical Recommender System Using User Interest Model Based on Map Operation and Category Selection
Digital map services and geographical information search services are widely available on the Internet. Users can retrieve appropriate geographical information from digital maps using certain map operations and category selection methods. However, it can be difficult for users to find specific geographical information when a map region contains a large amount of information. Furthermore, a user's interest in a region or a category may change. Therefore, the authors propose a method for recommending geographical information to users based on their map operation or category selection history. The authors developed a model to determine a user's interests and used it to recommend suitable regions and categories.
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