We enhance a tourist trip planning framework based on orienteering with category constraints by adding social sensing. This allows us to customize a user’s experience without putting the burden of preference elicitation on the user. We identify the interests of a user by analyzing their Tweets and then match these interests to descriptions of points of interests. For this analysis we adapt different schemes for social sensing to the needs of our orienteering context and compare them to find the most suitable approach. We show that our technique is fast enough for use in real-time dynamic settings and also has a higher accuracy compared to previous approaches. Additionally, we integrate a more efficient algorithm for solving the orienteering problem, boosting the overall performance and utility of our framework further, as demonstrated by the positive user satisfaction received by real users.

我们通过增加社交意识，增强了基于定向运动和类别限制的游客旅行计划框架。这使我们能够自定义用户的体验，而不会给用户带来偏好激发的负担。我们通过分析用户的推文来确定用户的兴趣，然后将这些兴趣与兴趣点的描述进行匹配。在此分析中，我们针对定向运动环境的需求采用了不同的社会感知方案，并进行了比较以找到最合适的方法。我们证明了我们的技术足够快，可以用于实时动态设置，并且与以前的方法相比具有更高的准确性。此外，我们集成了更有效的算法来解决定向越野问题，从而进一步提高了框架的整体性能和实用性，