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Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants [article]

Mohammad Aliannejadi and Hamed Zamani and Fabio Crestani and W. Bruce Croft
2021 arXiv   pre-print
This paper addresses two research problems that are vital for developing effective personal mobile assistants: target apps selection and recommendation.  ...  With the aid of this dataset, we study the user behavior in the context of these tasks and propose a family of context-aware neural models that take into account the sequential, temporal, and personal  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.  ... 
arXiv:2101.03394v1 fatcat:mcrabqsxvrgh3n7r3ms3iugmhm

Context-aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants

Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani, W. Bruce Croft
2021 ACM Transactions on Information Systems (TOIS; Formerly: ACM Transactions on Office Information Systems)  
This article addresses two research problems that are vital for developing effective personal mobile assistants: target apps selection and recommendation .  ...  With the aid of this dataset, we study the user behavior in the context of these tasks and propose a family of context-aware neural models that take into account the sequential, temporal, and personal  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the sponsors.  ... 
doi:10.1145/3447678 fatcat:n2knc3lbt5foxf6ralhac55liq

Mobile Data Science and Intelligent Apps: Concepts, AI-Based Modeling and Research Directions

Iqbal H. Sarker, Mohammed Moshiul Hoque, Md. Kafil Uddin, Tawfeeq Alsanoosy
2020 Journal on spesial topics in mobile networks and applications  
This study also includes the concepts and insights of various AI-powered intelligent apps in several application domains, ranging from personalized recommendation to healthcare services, including COVID  ...  In this paper, we present a comprehensive view on "mobile data science and intelligent apps" in terms of concepts and AI-based modeling that can be used to design and develop intelligent mobile applications  ...  Several data-driven tasks, such as personalized user experience, mobile recommendations, virtual assistant, mobile business, and even mobile healthcare system including the COVID-19 smartphone app, etc  ... 
doi:10.1007/s11036-020-01650-z fatcat:4dg7xrhkkbhn7brre7vobtisja

Science Driven Innovations Powering Mobile Product: Cloud AI vs. Device AI Solutions on Smart Device [article]

Deguang Kong
2017 arXiv   pre-print
language understanding, comfortable user interaction interface, satisfactory recommendation and effective advertisement targeting.  ...  In order to delight the customers, intelligent personal assistants (such as Amazon Alexa, Google Home and Google Now) are highly desirable to provide real-time audio, video and image recognition, natural  ...  Thanks for all co-authors who have contributed to this work as listed in references, and I really appreciate their strong support and help.  ... 
arXiv:1711.07580v1 fatcat:t5xpvqvsa5d3piqbl24itrb2bq

A mobile world made of functions

Haohong Wang
2017 APSIPA Transactions on Signal and Information Processing  
However, users are challenged to select a suite of apps, from the millions available today, that is right for them.  ...  We further discuss how a number of learning models could be utilized in building this relationship between the user, FUNN, and context to enable search, recommendations and presentation of FUNNs through  ...  The system can use these data points to understand context cues a mobile world made of functions and enhance context awareness, improving user-intention understanding, service mining and personalized recommendations  ... 
doi:10.1017/atsip.2017.2 fatcat:5zy35ex27vcmdfzd2wbljv3gna

Development of an IoT-Based Health Promotion System for Seniors

Chia-Hui Liu, Jih-Fu Tu
2020 Sustainability  
In this research, a wireless sensor network has been adopted to develop context aware health promotion for an elderly-care system.  ...  Moreover, the system can integrate long-term elderly diet and exercise records, and then, assist elderly to complete personal nutrition assessment and health management.  ...  Context Awareness Service for Elderly The idea of Context Awareness was first proposed by Schilit and Theimer [15] in 1994.  ... 
doi:10.3390/su12218946 fatcat:orp3rk3lufck5inoorq5rwicpq

Enhancing Mobile App User Understanding and Marketing with Heterogeneous Crowdsourced Data: A Review

Bin Guo, Yi Ouyang, Tong Guo, Longbing Cao, Zhiwen Yu
2019 IEEE Access  
This paper reviews CrowdApp, a research field that leverages heterogeneous crowdsourced data for mobile app user understanding and marketing.  ...  To enhance mobile app development and marketing, it is important to study the key research challenges such as app user profiling, usage pattern understanding, popularity prediction, requirement and feedback  ...  [98] illustrate how to extract personal context-aware preferences from context-rich device logs and how to use the identified preferences for personalized, context-aware recommendation.  ... 
doi:10.1109/access.2019.2918325 fatcat:de763kc4qbdy5ijo55jxyhzgt4

Using a Clinical Approach To Answer "What Communication Apps Should We Use?"

Jessica Gosnell, John Costello, Howard Shane
2011 Perspectives on Augmentative and Alternative Communication  
Rather, a clinical framework for comparing and selecting apps will be offered to assist speechlanguage pathologists in answering the popular question "What communication apps should we use?"  ...  and professionals will make decisions without sufficient experience or clinical judgment and knowledge (including awareness of language abilities or needs, other assistive communication device options  ...  Acknowledgment This project was funded in part by the Rehabilitation Engineering Research Center on Communication Enhancement (AAC-RERC), which is funded under grant #H133E080011 from  ... 
doi:10.1044/aac20.3.87 fatcat:tumfbsljpreppiws6h2gsyfwzm

I Can't Program! Customizable Mobile Language-Learning Resources for Researchers and Practitioners

2017 Languages  
Combining insights from Activity Theory (Engeström, 2014) , mobile-assisted language-learning (MALL) (Stockwell and Hubbard, 2013), and computer-assisted language learning (CALL) research (Chapelle, 2001  ...  ) , this paper proposes three levels of teacher involvement in the adaptation and/or creation of MALL resources to enhance learner interaction with the target language and potentially contribute to the  ...  Author Contributions: Mike Barcomb and Jennica Grimshaw conceived the paper. Mike Barcomb, Jennica Grimshaw, and Walcir Cardoso wrote the paper.  ... 
doi:10.3390/languages2030008 fatcat:voomo6qcjbehzny4hn2zobmgte

Designing branded mobile apps: Fundamentals and recommendations

Zhenzhen Zhao, Christine Balagué
2015 Business Horizons  
Branded apps aim to create completely new purchasing experiences and interaction models for users, with a whole set of capabilities including location awareness, context sensing, and product customization  ...  Recommendations for branded apps In this section, we provide some recommendations for branded app design.  ... 
doi:10.1016/j.bushor.2015.01.004 fatcat:bk4wx3sldjgk5hpm6p6xkaiqgq

Mobile-assisted language learning through learning analytics for self-regulated learning (MALLAS): A conceptual framework

Olga Viberg, Barbara Wasson, Agnes Kukulska-Hulme
2020 Australasian Journal of Educational Technology  
Learning designers can use MALLAS as a guide to direct their design choices regarding the development of mobile-assisted language learning apps and services.  ...  Implications for practice and policy: MALLAS is a conceptual framework that captures the dimensions of self-regulated language learning and learning analytics that are required to support mobile-assisted  ...  Lincke's (2020) model includes an environment context, device context and personal context, and a MALLAS app or service must take these into consideration for both the data collection and recommendation  ... 
doi:10.14742/ajet.6494 fatcat:3w5cacjivrccbk7z6dstwlqnbu

Impact of contextuality on mobile learning acceptance

Stephan Böhm, Georges Philip Constantine
2016 Interactive Technology and Smart Education  
Mobile learning offers new educational opportunities that allow for autonomous, personalized and context aware learning.  ...  This paper focuses on contextualized features for mobile language learning apps.  ...  Contextual Mobile Language Learning In mobile language learning, the language learning process is assisted and enhanced by the use of a mobile device.  ... 
doi:10.1108/itse-02-2016-0003 fatcat:c2eq4wqoyfbjpk3aeqnmb7wgti

MOBISPA: A Reference Framework for Mobile as a Personal Assistant [article]

Rakhi Misuriya Gupta
2015 arXiv   pre-print
for industry and solution architectures.  ...  Mobile is taking center stage and becoming the device of preference for all aspects of communication because of our increasingly on the go lifestyles.  ...  Context Model.  Personalization driven by User Profile: Targeted, contextual personalization based on user profile data are common place.  ... 
arXiv:1507.06469v1 fatcat:tczthbyy7zfupjbwtucmo3heve

A Tailor made System for providing Personalized Services

Mario Casillo, Francesco Colace, Saverio Lemma, Marco Lombardi, Francesco Pascale
2017 Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering  
This paper introduces a tailor made system for providing personalized services and it is based on a graphical formalism for the context representation: the Context Dimension Tree.  ...  We need to understand, select, treat and finally opportunely expose these data. In this scenario, there are many Context Aware applications.  ...  In [24] the context-aware recommendation approach has been introduced and it integrates network location context, user context and demand context.  ... 
doi:10.18293/seke2017-151 dblp:conf/seke/CasilloCLLP17 fatcat:ogrudklb4fdxrcxnzgyuokt4eq

Evaluating an Adjunctive Mobile App to Enhance Psychological Flexibility in Acceptance and Commitment Therapy

Michael E. Levin, Jack Haeger, Benjamin Pierce, Rick A. Cruz
2017 Behavior Modification  
Adjunctive ACT mobile apps appear promising in enhancing therapy effects on psychological inflexibility and outcomes.  ...  The primary aims of this study were to evaluate the feasibility and potential efficacy of a novel adjunctive mobile app designed to enhance the acquisition, strengthening, and generalization of acceptance  ...  In addition, apps can support using the most effective skill for the moment, by personalizing coaching to one's current context based on assessment data and algorithms.  ... 
doi:10.1177/0145445517719661 pmid:28689449 fatcat:6a4h4rrdofg6fnhintjqgouthq
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