当前位置: X-MOL 学术Int. J. Inf. Technol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
ATSR: distance and time based advanced tour sequence recommendation system
International Journal of Information Technology Pub Date : 2021-05-12 , DOI: 10.1007/s41870-021-00681-3
P. Sushmita Singh , K. C. Srikantaiah

The systems that filter the information and help the users in opting the desired items based on their previous transactions are the recommender systems. These systems are vital and are currently being used widely in various areas of social importance—tourism being one of them. Using a recommendation technique in travel and tourism related activities enhances the quality of decision making and gives the best possible recommendation for visiting various places. The traditional travel recommendation system (TRS) lacked in providing the tour recommendations as per the traveller’s choice and no other details about the surrounding places were furnished. Only the most popular or highly ranked tourist spot was recommended by them and no sequence to visit the nearby places was given. In this paper, a special type of TRS called advanced tour sequence recommender (ATSR) is proposed that outshines the other traditional TRSs. ATSR not only allows the user to select place of interest (POI) from the list of most popular tourist attractions in a city along with the suggestions to visit the other nearby POIs, but also gives a convenient sequence of visiting the nearby POIs based on travel distance and visiting hours of the POIs, best time of visit, cost etc. The recommendation results of the ATSR are compared with the place ratings and reviews given by Google. It was found that the ATSR has high coverage accuracy and average mean precision (AMP) values compared to the Google ratings.



中文翻译:

ATSR:基于距离和时间的高级巡回推荐系统

推荐系统是用于过滤信息并帮助用户根据他们之前的交易选择所需项目的系统。这些系统至关重要,目前已广泛用于具有社会重要性的各个领域,其中旅游业就是其中之一。在旅行和旅游相关活动中使用推荐技术可提高决策质量,并为访问各个地方提供最佳建议。传统的旅行推荐系统(TRS)缺乏根据旅行者的选择提供旅行推荐的功能,并且未提供有关周围地点的其他详细信息。他们只推荐了最受欢迎或排名最高的旅游景点,并且没有给出游览附近景点的顺序。在本文中,提出了一种称为高级巡回序列推荐器(ATSR)的特殊类型的TRS,它比其他传统TRS都要出色。ATSR不仅允许用户从城市中最受欢迎的旅游景点列表中选择景点(POI)以及访问附近其他POI的建议,而且还基于旅行给出了访问附近POI的便捷顺序POI的距离和访问时间,最佳访问时间,费用等。将ATSR的推荐结果与Google给出的地点评分和评论进行比较。发现与Google评级相比,ATSR具有较高的覆盖率准确性和平均平均精度(AMP)值。ATSR不仅允许用户从城市中最受欢迎的旅游景点列表中选择景点(POI)以及访问附近其他POI的建议,而且还基于旅行给出了访问附近POI的便捷顺序POI的距离和访问时间,最佳访问时间,费用等。将ATSR的推荐结果与Google给出的地点评分和评论进行比较。发现与Google评级相比,ATSR具有较高的覆盖率准确性和平均平均精度(AMP)值。ATSR不仅允许用户从城市中最受欢迎的旅游景点列表中选择景点(POI)以及访问附近其他POI的建议,而且还基于旅行给出了访问附近POI的便捷顺序POI的距离和访问时间,最佳访问时间,费用等。将ATSR的推荐结果与Google给出的地点评分和评论进行比较。发现与Google评级相比,ATSR具有较高的覆盖率准确性和平均平均精度(AMP)值。将ATSR的推荐结果与Google给出的地点评分和评论进行比较。发现与Google评级相比,ATSR具有较高的覆盖率准确性和平均平均精度(AMP)值。将ATSR的推荐结果与Google给出的地点评分和评论进行比较。发现与Google评级相比,ATSR具有较高的覆盖率准确性和平均平均精度(AMP)值。

更新日期:2021-05-12
down
wechat
bug