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Towards Intelligent, Multidimensional Context-Aware Personalised Healthcare and Wellness Support Services

Hamza Sellak, Marthie Grobler
2019 Studies in Health Technology and Informatics  
In this paper, we look at the main components of traditional personalised healthcare and wellness support services, and identify some of the challenges that should be addressed in creating a more intelligent  ...  Healthcare and wellness support that consider context within different dimensions can lead to intelligent, personalised recommendations that will more likely be accepted and acted upon by consumers.  ...  Towards the next-generation of intelligent personalised healthcare and wellness support services In developing the next-generation of efficient intelligent personalised healthcare and wellness support  ... 
doi:10.3233/shti190790 pmid:31397319 fatcat:fmr4zy2hsvbwbkqjcu7kn5bqya

Towards novelty-driven recommender systems

Pietro Gravino, Bernardo Monechi, Vittorio Loreto
2019 Comptes rendus. Physique  
In this paper, we carefully investigate the very foundations of recommendation algorithms in order to identify the determinants of what could be the next generation of recommender systems.  ...  We claim that this new generation of recommenders could help in overcoming the pitfalls of current technologies, namely the tendency towards a lack of diversity, polarization, the emergence of echo-chambers  ...  In this paper, we carefully investigate the very foundations of recommendation algorithms in order to identify the determinants of what could be the next generation of recommender systems.  ... 
doi:10.1016/j.crhy.2019.05.014 fatcat:bycc5csthrcdfc5iy5lnht5gom

Next Generation Repositories: Scaling Up Repositories To A Global Knowledge Commons

Shearer, Wilcox
2018 Zenodo  
The Next Generation Repositories report provides recommendations for these new behaviours and technologies to move th [...]  ...  The Next Generation Repositories offers an alternative vision, "to position repositories as the foundation for a distributed, globally networked infrastructure for scholarly communication, on top of which  ...  next generation repositories Next generation repositories Conceptual layer Conceptual layer Discovery mechanisms -Batch -Navigation -Notification Batch disco very Next generation repositories  ... 
doi:10.5281/zenodo.1298416 fatcat:bxdn3vpnarg2xdeygfgzvbb6om

CARS: Workshop on Context-Aware Recommender Systems 2022

Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger
2022 Sixteenth ACM Conference on Recommender Systems  
The CARS 2022 workshop provides a venue for presenting and discussing: the important features of the next generation of CARS; and application domains that may require the use of novel types of contextual  ...  While a substantial amount of existing research has focused on context-aware recommender systems (CARS), many interesting problems remain under-explored.  ...  next generation of context-aware recommender systems.  ... 
doi:10.1145/3523227.3547421 fatcat:irc7djlndndyra24fxdwckdhri

Page 362 of Ohio History Vol. 12, Issue 4 [page]

1903 Ohio History  
, which if rightly used would go a great way towards the general diffusion of knowledge.  ...  justify in making the contemplated canal * * * in such manner as may be deemed most advisable, when the plan or system which may be adopted by the State of New York may be known; and that his Excellency  ... 

Towards personalized recommendation by two-step modified Apriori data mining algorithm

Enrique Lazcorreta, Federico Botella, Antonio Fernández-Caballero
2008 Expert systems with applications  
In this paper a new method towards automatic personalized recommendation based on the behavior of a single user in accordance with all other users in web-based information systems is introduced.  ...  As soon as a user closes his session in the web system, all data are recalculated to take the recent interaction into account for the next recommendations.  ...  Acknowledgement This work is supported in part by the Spanish Junta de Comunidades de Castilla-La Mancha PAI06-0093 grant.  ... 
doi:10.1016/j.eswa.2007.08.048 fatcat:4kbotpz3lnftdbidpg3tnw6mqq

Towards the alignment of computer-based assessment outcome with learning goals: The LAERS architecture

Zacharoula K. Papamitsiou, Anastasios A. Economides
2013 2013 IEEE Conference on e-Learning, e-Management and e-Services  
In this paper we propose an architecture that feeds the machine-readable results of learning analytics processes into an educational recommender system in order to produce personalized applicable feedback  ...  Keywords-computer-based assessment; formative feedback; learning analytics; educational recommender system I.  ...  Fig.1 delineates the general scheme and data flow between the separate components of the system. The functionalities and roles of each of these modules are presented in the next sections.  ... 
doi:10.1109/ic3e.2013.6735958 fatcat:ba3zihbdkjhshpoyj2fy3m4fhi

Stating and Discussing Challenges of Radio Recommender Systems in Contrast to Music Recommendation

Stefan Hirschmeier, Daniel A. Döppner, Detlef Schoder
2015 International Workshop on Decision Making and Recommender Systems  
Focusing on the interaction design of a radio player, we bring up and discuss these special challenges and find that in a radio recommender context, optimal interaction design has conflicting issues with  ...  , such as news, articles, audio dramas, biographies, etc.  ...  Whereas a lot of recommender systems researchers tackle the "cold-start problem" [5, 6] -when little is known about the interaction of users of new media-radio recommender systems also face another problem  ... 
dblp:conf/dmrs/HirschmeierDS15 fatcat:6zyafkm4fnaq5m7sm4oit27akm

How to Retrain Recommender System? A Sequential Meta-Learning Method [article]

Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang
2020 arXiv   pre-print
Practical recommender systems need be periodically retrained to refresh the model with new interaction data.  ...  In this work, we study the model retraining mechanism for recommender systems, a topic of high practical values but has been relatively little explored in the research community.  ...  The idea of MAML has been taken to solve the cold-start recommendation problem [2, 8, 24, 28, 39] .  ... 
arXiv:2005.13258v1 fatcat:ijsrc5xuv5fprn6iilibnuarau

Toward the Next-Generation Peer-to-Peer Services

Yi Cui, Ben Y. Zhao, S. Chen
2007 Advances in Multimedia  
The fifth paper, "Globally decoupled reputations for large distributed networks," points out the vulnerability of existing P2P reputation systems to unfair rating attacks, and recommends that reputation  ...  systems decouple each peer's reputation as service provider from that as service recommender, making reputations more resistant to tampering.  ...  The fifth paper, "Globally decoupled reputations for large distributed networks," points out the vulnerability of existing P2P reputation systems to unfair rating attacks, and recommends that reputation  ... 
doi:10.1155/2007/52679 fatcat:6wrpwznncjbxvmlklhbyk3yv24

Exploring User Attitudes Towards Different Approaches to Command Recommendation in Feature-Rich Software

Michelle Wiebe, Denise Y. Geiskkovitch, Andrea Bunt
2016 Proceedings of the 21st International Conference on Intelligent User Interfaces - IUI '16  
Command recommenders aim to increase awareness of an application's capabilities by generating personalized recommendations for new commands.  ...  A primary distinguishing characteristic of these recommenders concerns the manner in which they determine command relevance.  ...  ACKNOWLEDGMENTS This work was supported by the National Sciences and Engineering Research Council (NSERC).  ... 
doi:10.1145/2856767.2856814 dblp:conf/iui/WiebeGB16 fatcat:4shs5redijgq5cerj5yr4wkxba

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt Predict Paradigm (P5) [article]

Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
2022 arXiv   pre-print
P5 advances recommender systems from shallow model to deep model to big model, and will revolutionize the technical form of recommender systems towards universal recommendation engine.  ...  As a result, it is hard to transfer the learned knowledge and representations from one task to another, thus restricting the generalization ability of existing recommendation approaches, e.g., a sequential  ...  In retrospect, we can summarize the development trend of modern recommender systems -towards a more comprehensive system that accommodates diverse features and a wide spectrum of application scenarios.  ... 
arXiv:2203.13366v5 fatcat:3tcf5vb7dzgx7g7x7atp4dymla

Generation of Hints to Overcome Difficulty in Operating Interactive Recommender Systems

Yuri Nakao, Takuya Ohwa, Kotaro Ohori
2019 ACM Conference on Recommender Systems  
In the field of recommendation, there have been many efforts to help users interact with recommender systems in ways that appropriately elucidate user preferences.  ...  As future work, we will conduct empirical experiments to evaluate the performance of our method in online situations. CCS CONCEPTS • Information systemsRecommender systems.  ...  These results implicate that the generation of hints results in the effective recommendation of new items that a user has not seen before in our experiment.  ... 
dblp:conf/recsys/NakaoOO19 fatcat:4goxekhvbjaptblxrr427ewogy

Context-Aware Practice Problem Recommendation Using Learners' Skill Level Navigation Patterns

P. N. Ramesh, S. Kannimuthu
2023 Intelligent Automation and Soft Computing  
Collaborative filtering (CF) and content-based filtering approaches are employed to recommend problems in the current and next skill levels based on frequent skill level navigation patterns.  ...  Since POJs have greater number of programming problems in their repository, learners experience information overload. Recommender systems are a common solution to information overload.  ...  Conflicts of Interest: We declare that we have no conflicts of interest to report regarding the present study. References  ... 
doi:10.32604/iasc.2023.031329 fatcat:wzcu7opt2bbgxcxtt6tgy5u7gm

Interactive Search with Contextual Navigation Recommendations

Tolga Könik, Yoni Medoff, Rajyashree Mukherjee
2015 International Joint Conference on Artificial Intelligence  
The agent guides the user toward more desirable inventory, while also satisfying the constraints that the user constructs with the help of the agent.  ...  We have also created the popularity knowledge-base of the agent by aggregating data from billions of user transactions. The accompanying video 1 demonstrates the resulting prototype in this context.  ...  After every user action, the system retrieves new results and updates its query recommendations. These recommendations are incremental, targeting only the specific user selected parts of the query.  ... 
dblp:conf/ijcai/KonikMM15 fatcat:na4bfnlnkrbnhi2zygqaedx54i
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