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Personalized Itinerary Recommendation with Queuing Time Awareness

Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie
2017 Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17  
We also implement a framework that utilizes geo-tagged photos to derive attraction popularity, user interests and queuing times, which PersQ uses to recommend personalized and queue-aware itineraries.  ...  To solve these challenges, we propose the PersQ algorithm for recommending personalized itineraries that take into consideration attraction popularity, user interests and queuing times.  ...  Figure 1 illustrates the importance of queuing time awareness in itinerary recommendation.  ... 
doi:10.1145/3077136.3080778 dblp:conf/sigir/LimCKL17 fatcat:rpbxnpeh6vb65gxl4ep6uyrzli

Strategic and Crowd-Aware Itinerary Recommendation [article]

Junhua Liu, Kristin L. Wood, Kwan Hui Lim
2020 arXiv   pre-print
In this work, we propose the Strategic and Crowd-Aware Itinerary Recommendation (SCAIR) algorithm which optimizes social welfare in real-world situations.  ...  There is a rapidly growing demand for itinerary planning in tourism but this task remains complex and difficult, especially when considering the need to optimize for queuing time and crowd levels for multiple  ...  In a real-life scenario with multiple travellers, all travellers will follow the same recommended itinerary with the shortest historical queuing time, resulting in an expected queuing time that would grow  ... 
arXiv:1909.07775v4 fatcat:vlenpdqtana4jmypkb26vjw24m

User-relative Personalized Tour Recommendation

Prarthana Padia, Bhavya Singhal, Kwan Hui Lim
2019 International Conference on Intelligent User Interfaces  
While there are various personalized tour recommendation works, they typically adopt a simple measure of user interests based on the number of times a user has visited a place.  ...  In this paper, we propose an improved personalized tour recommendation system that considers a user's interest preferences in specific categories, relative to his/her overall interests.  ...  Various works also considered real life constraints like POI availability and travelling time uncertainty [29, 30] , queuing time awareness [16] , visit duration and recency [18] , pedestrian crowdedness  ... 
dblp:conf/iui/PadiaSL19 fatcat:qudhpszzdjbdlfi6b6rrsfkmyy

A Travel Route Recommendation System Based on Smart Phones and IoT Environment

Chenzhong Bin, Tianlong Gu, Yanpeng Sun, Liang Chang, Lei Sun
2019 Wireless Communications and Mobile Computing  
However, existing systems rarely aim at recommending tangible itineraries for tourists within a specific POI due to their lack of onsite travel behavioral data and related route mining algorithms.  ...  The experimental results demonstrate that the proposed system is efficient and effective in recommending POI-oriented tangible travel routes considering tourists' route constraints and personal profile  ...  [27, 28] studied tour recommendation with the goal of recommending personalized itineraries based on the interest preferences of users and available touring time, while considering opening hours of  ... 
doi:10.1155/2019/7038259 fatcat:rpfz7b4gwbe2zjeozpphgchdwq

Anonymous Authentication of Visitors for Mobile Crowd Sensing at Amusement Parks [chapter]

Divyan Munirathnam Konidala, Robert H. Deng, Yingjiu Li, Hoong Chuin Lau, Stephen E. Fienberg
2013 Lecture Notes in Computer Science  
The app server also offers visitors optimal recommendations on routes and attractions for an improved dynamic experience and minimized wait times.  ...  We utilize queuing theory to analyze the performance of a typical app server receiving numerous simultaneous requests from visitors to process a core function of our protocol.  ...  All visitors using the mobile app have equal opportunity to receive personalized time slots and recommended routes.  ... 
doi:10.1007/978-3-642-38033-4_13 fatcat:ciavrdmspzb37f2khxuiwzuaja

Linked Open Data in Location-Based Recommendation System on Tourism Domain: a survey

Phatpicha Yochum, Liang Chang, Tianlong Gu, Manli Zhu
2020 IEEE Access  
In the tourism domain, many studies are using linked open data to address the problem of location-based recommendation by integrating data with other linked open datasets to enrich data and tourism content  ...  Linked open data is a relatively new topic area with great potential in a wide range of fields.  ...  The proposed approach reduced traffic jams and queuing time in attractions, and provided a personalize visiting routes based on the user's preferences.  ... 
doi:10.1109/access.2020.2967120 fatcat:yqwkrko6mzfw5e5kckfaxbxzju

Design and Implementation of Context-Aware Musuem Guide Agents

Ichiro SATOH
2010 IEICE transactions on information and systems  
The system provides users with agents and detects the locations of users and deploys location-aware user-assistant agents at computers near the their current locations by using active RFID-tags.  ...  It annotates the exhibits in his/her personalized form and navigate him/her user to the next exhibits along his/her routes.  ...  at the right time and in the right place and to help them navigate between exhibits along recommended routes.  ... 
doi:10.1587/transinf.e93.d.789 fatcat:hrhacflkujd7jnmxehmz6mskre

Crowding cost estimation with large scale smart card and vehicle location data

Daniel Hörcher, Daniel J. Graham, Richard J. Anderson
2017 Transportation Research Part B: Methodological  
These results are in line with earlier revealed preference values, and suggest that stated choice methods may overestimate the user cost of crowding.  ...  The estimated standing penalty is 26.5% of the uncrowded value of in-vehicle travel time. An additional passenger per square metre on average adds 11.9% to the travel time multiplier.  ...  We very much appreciate the recommendations of two anonymous referees that helped improve this paper significantly.  ... 
doi:10.1016/j.trb.2016.10.015 fatcat:wrabrs42brcivkenftmoas25ei

The Interactive Urban Robot: User-centered development and final field trial of a direction requesting robot

Astrid Weiss, Nicole Mirnig, Ulrike Bruckenberger, Ewald Strasser, Manfred Tscheligi, Barbara Kühnlenz (Gonsior), Dirk Wollherr, Bartlomiej Stanczyk
2015 Paladyn: Journal of Behavioral Robotics  
The robot interacted with approximately 100 pedestrians of which 36 interactions included a full route dialogue.  ...  The gathered data provides insights into usability, user experience, and acceptance of IURO and allowed us deriving recommendations for the development of other socially interactive robots.  ...  Furthermore, if a person was undecided about where to go, the robot was able to provide recommendations.  ... 
doi:10.1515/pjbr-2015-0005 fatcat:hg7jyhzmqrbqpfwy7soumtkcma

A web service for flexible integration of mobile applications with social networks

Victor Pantoja, Markus Endler
2011 Proceedings of the Third International Workshop on Middleware for Pervasive Mobile and Embedded Computing - M-MPAC '11  
The prospect of coupling social computing with sensing capabilities of current mobile devices makes it possible to provide social applications with higher degrees of context-awareness, detection of activities  ...  Its interface is generic in that it makes transparent to the mobile client application the interaction with social networks and web services.  ...  We also tested MoSoGw's response time (figure 5), since this is particularly important for mobile social apps with requirements for real-time context data distribution and accurate mutual awareness.  ... 
doi:10.1145/2090316.2090320 dblp:conf/middleware/PantojaE11 fatcat:jgchfjgfrrdudn6wfiilhdta6u

Rethinking 'multi-user'

Paul Marshall, Richard Morris, Yvonne Rogers, Stefan Kreitmayer, Matt Davies
2011 Proceedings of the 2011 annual conference on Human factors in computing systems - CHI '11  
We describe how groups approached, congregated and interacted with it and the social interactions that took place -noting how they were quite different from research findings describing the ways groups  ...  and itinerary planning.  ...  information centre, such as recommenders and guides (e.g., [3] ).  ... 
doi:10.1145/1978942.1979392 dblp:conf/chi/MarshallMRKD11 fatcat:hcrqv6n6dfbabgocemika3j4kq

A Novel Multi-Objective and Multi-Constraint Route Recommendation Method Based on Crowd Sensing

Xiaoyao Zheng, Yonglong Luo, Liping Sun, Qingying Yu, Ji Zhang, Siguang Chen
2021 Applied Sciences  
Compared with the ATP route recommendation method based on an improved ant colony algorithm, our proposed method is superior in route score, interest abundance, number of POIs, and running time.  ...  Nowadays, people choose to travel in their leisure time more frequently, but fixed predetermined tour routes can barely meet people's personalized preferences.  ...  [25] proposed a maximal-marginalrelevance-based personalized trip recommendation method that can recommend travel itineraries to users according to their preferences in an acceptable time.  ... 
doi:10.3390/app112110497 fatcat:kbxkiumixbhp7bz32d4n6iduoi

Innovative prototypes for cervical cancer prevention in low-income primary care settings: A human-centered design approach

Marcela Arrivillaga, Paula C. Bermúdez, Juan Pablo García-Cifuentes, Jorge Botero, Enrique Castro-Sánchez
2020 PLoS ONE  
The project was developed in collaboration with a public healthcare network comprised of 38 urban and rural centers with women between the ages of 25 and 65 years, healthcare providers of the cancer program  ...  As a result, we designed four prototypes: (1) 'Encanto': An educational manicure service, (2) 'No le des la espalda a la citología': A media-based strategy, (3) An educational wireless queuing device in  ...  Harnessing time in the waiting rooms through an educational queuing device was an experience valued positively by women.  ... 
doi:10.1371/journal.pone.0238099 pmid:32833974 fatcat:nlhpeeax6neadbdj6qiiuykliu

Cruise Tourism for Sustainability: An Exploration of Value Chain in Shenzhen Shekou Port

Yanhong Liu, Erwei Dong, Shiqi Li, Xiaowen Jie
2020 Sustainability  
SSP has been exploring this aspect, but there are not many cruise-related enterprises with the awareness of these value chains.  ...  1653 53 toilet 657 24 queuing 1649 54 considerate 649 25 leisure 1641 55 quality 643 26 next time 1560 56 visit 624 27 children's area 1522 57 Japan 611 28 easy to reach 1519 58 evening 605 29 suitable  ... 
doi:10.3390/su12073054 fatcat:355xflwyw5fgbea4f3ks46vsyy


Rajesh Krishna Balan, Archan Misra, Youngki Lee
2014 Proceedings of the 15th Workshop on Mobile Computing Systems and Applications - HotMobile '14  
The key goal of LiveLabs is to allow insitu real-time experimentation of mobile applications and services that require context-specific triggers with real participants on their actual smart phones.  ...  We end with a description of the current LiveLabs status (> 700 active participants to date) as well as present some key lessons learned.  ...  Real-Time Deep Contextual Analytics A key capability of LiveLabs is the use of mobile sensing software, implemented on participants' personal devices, to collect and generate detailed real-time (or near  ... 
doi:10.1145/2565585.2565597 dblp:conf/wmcsa/BalanML14 fatcat:udpybga7yjdglevfm3qtikinby
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