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Addressing cold-start problem in recommendation systems
Proceedings of the 2nd international conference on Ubiquitous information management and communication, 2008Recommender systems for automatically suggested items of interest to users have become increasingly essential in fields where mass personalization is highly valued. The popular core techniques of such systems are collaborative filtering, content-based filtering and combinations of these.
Xuan Nhat Lam +3 more
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Solving the cold start problem in Trust Management in IoT
Proceedings of the 16th International Conference on Availability, Reliability and Security, 2021Internet of Things has a profound effect on everyday life and critical vertical services including healthcare, factories of the future and intelligent transport systems. The highly distributed nature of such networks and the heterogeneity of the devices, which constitute them, necessitates that their users should be able to trust them at all times.
Michail Bampatsikos +3 more
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Reducing cold start problems in educational recommender systems
2016 International Joint Conference on Neural Networks (IJCNN), 2016Educational data can help us to personalise university information systems. In this paper, we show how educational data can be used to improve the performance of interaction-based recommender systems. Educational data is transformed to student profiles helping to prevent cold start problems when recommending projects to students with few user ...
Stanislav Kuznetsov +4 more
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A Synergistic Cloud Service Approach for Cold Start Problems
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2018More and more new cloud users use the personalised cloud service combination strategy (CSCS). Solving the Cold Start problem of the cloud environment becomes intractable. The paper represents a novel method of choosing the most optimal combinatorial features based on the attenuation function to cluster, and integrating multi level sampling method to ...
Qi, Rui-dong +2 more
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Research on Cold-Start Problem of Collaborative Filtering Algorithm
Proceedings of the 2019 3rd International Conference on Big Data Research, 2019Collaborative Filtering is the most successfully and widely used recommendation algorithm nowadays. However, it faces severe challenges of the cold-start problem. This paper proposes a hybrid algorithm by using the users' attributes and the back propagation neural network (BPNN) to solve the new user problem in cold-start.
Yu Shao, Ying-hua Xie
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Representative Agents and the Cold Start Problem in Contract Negotiation
2016Principal Agent Theory (PAT) seeks to identify the incentives and sanctions that a consumer should apply when entering into a contract with a provider in order to maximise their own utility. However, identifying suitable contracts--maximising utility while minimising regret-- is difficult, particularly when little information is available about ...
Federico Cerutti 0001 +2 more
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Solutions to cold-start problems for latent factor models
2017 17th International Symposium on Communications and Information Technologies (ISCIT), 2017In the data age, the “information overload” problem severely impacts the precise of people to choose what they prefer. However, recommendation systems are able to provide people related information from huge amounts of data, and effectively solve the “information overload” problem.
Yao Jun Zhao +3 more
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Alleviating Cold-Start Problem by Using Implicit Feedback
2009Collaborative Filter (CF) methods supply favorably personalized predictions relying on adequate data from users. But the ratings, of new users or about new items are not always available and CF can't make a precise recommendation in this case. In our paper, we present our consideration on alleviating cold-start problem by using users' implicit feedback
Lei Zhang +4 more
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Solving cold start problem using MBA
2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), 2017Recommendation System is the base of E-commerce business in India and World. After The advent of 4G technology in developed and developing countries people are using internet more than ever. Lot of options are available for almost everything on Internet. People are confused with all the options.
Nitin Kumar Mishra +2 more
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Personalization and Cold Start Problems in Information Retrieval
2023The retrieval of information within enterprise data stores is consistently challenging due to the dispersion of data across diverse and heterogeneous storage systems, in contrast to the relatively simpler web-based retrieval systems. This paper introduces an enhanced approach to information retrieval, building upon our prior work on collaborative ...
L., Dinesha +4 more
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