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A Hybrid Recommendation Algorithm to Address the Cold Start Problem
2019In this age where there are a lot of available data, recommender systems are a way to filter the useful information. A recommender system’s purpose is to recommend relevant items to users, and to do that, it requires information on both, data from users and from items, to better organize and categorize both of them.
Licínio Castanheira de Carvalho +2 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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Addressing the Cold-Start Problem in Facial Expression Recognition
2015In our previous research [5] we proposed a CBR approach to infer the emotional state of the user through the analysis of a picture taken from the front facing camera of her mobile device. We demonstrated that different people express emotions with different gestures and got the best accuracy using a personal case base with self pictures of the same ...
Jose L. Jorro-Aragoneses +2 more
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The Cost of the Cold-Start Problem on Airbnb
With peer-to-peer reviews, new products face a “cold-start” problem because consumers who review an unreviewed product generate an informational externality. Our structural estimates for Manhattan Airbnbs, featuring Bayesian learning and an endogenous supply side, put it at 3% of the rental price, 60% coming from stronger market selection through entryFlorian Dendorfer, Regina Seibel
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A Semantic-Based Recommendation Approach for Cold-Start Problem
2017Recommender systems (RS) can predict a list of items which are appropriated to users by using collaborative or content-based filtering methods. The former is more popular than the latter approach, however, it suffers from cold-start problem which can be known as new-user or new-item problems.
Huynh Thanh-Tai, Nguyen Thai-Nghe
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Incorporating Semantic Item Representations to Soften the Cold Start Problem
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018Recommender systems have been extensively used to provide meaningful and personalized content to users. A recurring issue, especially in collaborative filtering methods, is the cold-start problem, which can be related to new items or new users. This problem can be smoothed by aggregating item information into the recommender calculation, thus the ...
Rafael Martins D'Addio +3 more
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PROBLEMS OF HIGH OIL CONSUMPTION AND COLD STARTING
Scientific Lubrication, 1959IN HIS CHAIRMAN'S ADDRESS to the Automobile Division of The Institution of Mechanical Engineers, on the 6th October, L. H. Dawtrey, M.I.Mech.E. (Chief Engineer, Research and Development, The Standard Motor Co., Ltd.) presented a paper entitled “Some Problems We Meet,” in which he outlined the problems with which he had been confronted during his ...
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Information Diffusion Approach to Cold-Start Problem
2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2007Masayuki Ishikawa +4 more
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The Diesel Engine Cold Starting Problem
SAE Technical Paper Series, 1949F. L. NELSON, C. J. ULZHEIMER
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