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Intelligent search in E-Tourism services using Recommendation System: Perfect guide for tourist

机译：使用推荐系统在电子旅游服务中进行智能搜索：完美的旅游指南

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摘要

Tourism is considered as a most profitable industry in today's era, because it provides the opportunity to the people to earn chunk of money. Whenever a person opens a particular site, in order to attain information about a particular tourism spot, then the website always shows the same data to different number of people i.e. the content remains the same. Searching for a particular place provides the people huge amount of information which is generally waste of time. A Recommendation System is a personalization tool that offers users with a list of items that best fit their individual taste. There are so many traditional methods available for recommending the items to the users like we have content based filtering, collaborative based filtering and knowledge based filtering but these methods have some shortcomings. In this paper we are proposing three algorithms on recommendation system; one is based on historical data (registered user), second is based on cookies (for unregistered user) and third is based on time scheduling. Time Scheduling has very relevant feature that most recommendation system lacks. In Time Scheduling recommendation system we are using totally different concept, in which recommendation system will schedule all the activities of the users. This provides the real agenda of activities which not only shows the user preferences but also provides the whole schedule which includes how and when to perform activities.
机译：旅游业被认为是当今时代最赚钱的产业，因为它为人们提供了赚大钱的机会。每当有人打开特定站点时，为了获得有关特定旅游景点的信息，该网站就会始终向不同数量的人显示相同的数据，即内容保持不变。搜索特定的地方会为人们提供大量信息，这通常是浪费时间。推荐系统是一种个性化工具，可为用户提供最适合其个人口味的项目列表。有很多传统方法可用于向用户推荐项目，例如我们具有基于内容的过滤，基于协作的过滤和基于知识的过滤，但是这些方法都有一些缺点。本文提出了三种推荐系统算法。一种基于历史数据（注册用户），第二种基于Cookie（针对未注册用户），第三种基于时间安排。时间调度具有大多数推荐系统所缺乏的非常相关的功能。在时间安排推荐系统中，我们使用完全不同的概念，其中推荐系统将安排用户的所有活动。这提供了真实的活动议程，不仅显示了用户的喜好，而且还提供了包括如何以及何时执行活动的整个时间表。

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