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Ask the Users

Kazi Sinthia Kabir, Stacey A. Kenfield, Erin L. Van Blarigan, June M. Chan, Jason Wiese
2022 Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies  
Together, this case study contributes insights on applying UCD to the design of all components of a JITAI, which can help capture users' needs and provide actionable interventions.  ...  We reflect on our experiences engaging in a user-centered JITAI design process and urge the broader human-computer interaction (HCI) community to devise concrete design guidelines for JITAIs.  ...  Chan, and Stacey A. Kenfield).  ... 
doi:10.1145/3534612 fatcat:rugomdc7xjc3xm3wfhgankbgva

Personalization and privacy: a survey of privacy risks and remedies in personalization-based systems

Eran Toch, Yang Wang, Lorrie Faith Cranor
2012 User modeling and user-adapted interaction  
This article analyzes the privacy risks associated with several current and prominent personalization trends, namely social-based personalization, behavioral profiling, and location-based personalization  ...  This frameworks can help designers and researchers to contextualize privacy challenges of solutions when designing personalization systems.  ...  Unlike systems that rely on data actively provided by the user, in most instances of behavioral profiling the system tracks a wide range of user behaviors, with little or no consent of users.  ... 
doi:10.1007/s11257-011-9110-z fatcat:qxghk5txzfel3j5365yktbei3i

Location-Aware Personalized News Recommendation Based on Behavior and Popularity Technique

Hengane Shubham
2020 International Journal for Research in Applied Science and Engineering Technology  
Then, considers the scope of the user's preferences for historical news, and propose a method to calculate the desire weight of historic news consistent with the user's analyzing behavior and the popularity  ...  The contribution work is to implement location-aware personalized news recommendation with explicit semantic analysis (LP-ESA), which recommends news using both the users' personal interests and their  ...  A hybrid recommender based on both, user content and collaborative filtering Wesomender framework.  ... 
doi:10.22214/ijraset.2020.27921 fatcat:arvlxufr6faczfwznrfsvzumr4

Ethnic music exploration guided by personalized recommendations: system design and evaluation

Tiago Fernandes Tavares, Leandro Collares
2020 SN Applied Sciences  
We present and evaluate an ethnic music collection exploration system that comprises a recommendation algorithm and a web-radio interface.  ...  A blind a/b user study conducted to evaluate the system suggests that personalized recommendations could help individuals from diverse backgrounds explore ethnic music collections.  ...  Acknowledgements We thank Agenor Vasconcelos for kindly authorizing the use of the music collection in this research.  ... 
doi:10.1007/s42452-020-2318-y fatcat:45dop4yyn5hjrd5ffegjmgbstu

CRUC: Cold-start Recommendations Using Collaborative Filtering in Internet of Things

Daqiang Zhang, Qin Zou, Haoyi Xiong
2011 Energy Procedia  
To this end, we propose CRUC scheme - Cold-start Recommendations Using Collaborative Filtering in IoT, involving formulation, filtering and prediction steps.  ...  The Internet of Things (IoT) aims at interconnecting everyday objects (including both things and users) and then using this connection information to provide customized user services.  ...  2011119XGQ0072), and Natural Science Foundation of the Higher Education Institutions of Jiangsu Province, China (Grant No. 11KJB520009).  ... 
doi:10.1016/j.egypro.2011.11.497 fatcat:owy6m76eqvddzd4ksnza3bah6i

Recommendation of Points of Interest from User Generated Data Collection

Karol Waga, Andrei Tabarcea, Pasi Fränti
2012 Proceedings of the 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
In this paper, we present a context aware personalized recommendation system on web and mobile, which recommends relevant location-based data from user collection and consisting of GPS routes and photos  ...  We score all items from database based on four aspects of relevance: location, content, time and network.  ...  We have designed a recommendation system based on the four aspects of relevance: content, time, location and social network discussed in [3] .  ... 
doi:10.4108/icst.collaboratecom.2012.250451 dblp:conf/colcom/WagaTF12 fatcat:mk47zsmvjvd6behggxpcmbb5ae

A personalized agent-based chatbot for nutritional coaching

Davide Calvaresi, Stefan Eggenschwiler, Jean-Paul Calbimonte, Gaetano Manzo, Michael Schumacher
2021 IEEE/WIC/ACM International Conference on Web Intelligence  
The system provides diet recommendations and tracks the user's food intake and nutritional behaviors to promote a healthy lifestyle. The study concludes with a user study and performance evaluation.  ...  Intelligent systems increasingly support users' behavior change, including exercise adherence, smoking cessation, and healthy diet adoption.  ...  ., the owners of Caloriemama.ai, for the access to their platform and generous support.  ... 
doi:10.1145/3486622.3493992 fatcat:qgofxi2g3ze55bwgaj5diozwa4

Designing a Tourism Recommender System Based on Location, Mobile Device and User Features in Museum

Maede Kiani Sarkaleh
2012 International Journal of Managing Information Technology  
On the whole, the goal for personalization is to suggest a collection of comprehensive activities, taking into consideration factors such as location, user preferences and interests and so on.  ...  One of the applications of recommender systems is in tourism industry. Mobile devices can be used in sites such as museums.  ...  Former recommender systems used collaborative filtering to predict a certain product rating in view of a certain user. There are two types of collaborative filtering: user-defined and item -based.  ... 
doi:10.5121/ijmit.2012.4202 fatcat:iwu56ucw6zephh2nvdd277tzru

Tempus fight and the need for an e-social contract

James Kaufman, Joann Ruvolo, Daniel Ford
2001 Proceedings of the fifth international conference on Autonomous agents - AGENTS '01  
It is the foundation of the design philosophy behind Tempus Fugit and should be considered in the development of any agent technology.  ...  The time is rapidly approaching when we can build systems to gather this information and monitor all aspects of an individual's life.  ...  ., Myllymaki, and the many subscribers to the system.  ... 
doi:10.1145/375735.376089 dblp:conf/agents/KaufmanRF01 fatcat:tw5usxb4zzhdpfmyeqqgry6tka

Just-for-Me

Zhiyong Cheng, Jialie Shen
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
In the paper, we present a novel recommender system called Just-for-Me to facilitate effective social music recommendation by considering users' location related contexts as well as global music popularity  ...  An extensive experimental study based on different test collections demonstrates that Just-for-Me system can significantly improve the recommendation performance at various geo-locations.  ...  The key objective of location-aware music recommender system is to satisfy users' music information needs based on user's location with minimum user efforts on providing feedbacks.  ... 
doi:10.1145/2578726.2578751 dblp:conf/mir/ChengS14 fatcat:7jsv4soxhzcf5fe6tmablqautm

GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory

Yu Zheng, Xing Xie, Wei-Ying Ma
2010 IEEE Data Engineering Bulletin  
This paper introduces a social networking service, called GeoLife, which aims to understand trajectories, locations and users, and mine the correlation between users and locations in terms of usergenerated  ...  and travel experts in a given region; and 3) personalized friend and location recommendation.  ...  So, we can perform smart route recommendations/designs for a person based on the person's needs.  ... 
dblp:journals/debu/ZhengXM10 fatcat:onq7nuilcvclvkoxue37yz3rsy

A Survey on Personalized Service Recommendation Systems

Devdatta Godbole, Manish Narnaware
2016 International Journal of Engineering Research and  
systems normally generate a list of recommendations in any of these ways either collaborative or content-based filtering methods.  ...  Collaborative filtering approaches build a model from a user's past behavior as well as from similar decisions made by other similar users having similar interests.  ...  We also express or sincere thanks to all the researchers who are working in the area of Machine Learning and Recommendation Systems.  ... 
doi:10.17577/ijertv5is020595 fatcat:milrmhxx6rbwrcoyglx7zpsnfu

Visual Analyses of Music History: A User-Centric Approach [article]

Jingxian Zhang, Dong Liu
2017 arXiv   pre-print
We start by investigating user needs on such visual analyses and recommendations, then propose several different visualization schemes, and perform a pilot study to collect user feedback on the designed  ...  In this paper, we take a user-centric approach to the design of such visual analyses.  ...  The collaborative relevances among music tracks are also highlighted. Moreover, it provided recommendations based on a single track once the track is clicked.  ... 
arXiv:1703.07534v1 fatcat:rxqxr7t6abaitmm4l6zyz6wa7i

Expertise recommender

David W. McDonald, Mark S. Ackerman
2000 Proceedings of the 2000 ACM conference on Computer supported cooperative work - CSCW '00  
This work describes a general recommendation architecture that is grounded in a field study of expertise locating.  ...  Recommendation systems are collaborative software that can be applied to expertise locating.  ...  Information Technology and Organizations (CRITO), and the University of California MICRO program.  ... 
doi:10.1145/358916.358994 dblp:conf/cscw/McDonaldA00 fatcat:5vsqm6vhijgnrjo6ibwyhrcazm

An Architecture for Developing Educational Recommender Systems

Maritza Bustos-López, Raquel Vásquez-Ramírez, Giner Alor-Hernández
2015 Research in Computing Science  
Recommender systems are a tool to help student find information quickly and recommend new items of interest to the active student based on their preferences.  ...  However, it raises a new challenge: the need to provide support to the location of those resources that meet the needs, goals and preferences of each student.  ...  This work was sponsored by the National Council of Science and Technology (CONACYT), the National Technology of Mexico (TecNM) and the Public Education Secretary (SEP) through PROMEP.  ... 
doi:10.13053/rcs-106-1-2 fatcat:funsqzfqvvcdxh54mh45vi7hhe
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