Decentralised recommender systems using opportunistic networks
A robust reputation based location privacy recommender system using opportunistic networks
... our decentralised recommenders need more time than the centralised one to have adequate data to produce accurate rec- ...the decentralised recommenders, D-Set has bet- ter performance than ...implementing ...
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An Overview of Recommender Systems on Social Networks Using LBSN
... for recommender system ...social networks service by the smart phone or web ...social networks know to geographical information as location-based social networks ...
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Trust-Networks in Recommender Systems
... For the kNR approach to neighborhood formation, the more complex recommendation strategies do not provide any benefit. Specifically, the Trust & Reputation and Trust Propagation methods both performed worse than the ...
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Recurrent Neural Networks for Recommender Systems
... Path Recommender System Using RNN Recently, education in programming has gained more prominence due to the increasing demands for programming and IT ...by using machine learning methods to help the ...
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Tag-based Recommender System for Context-Aware Content Dissemination in Opportunistic Networks
... bility of users’ encounters and the possibility to move messages closer and closer to their destinations following a path based on the social interactions between nodes (as in the famous six degrees of separation ...
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Using Simulations to Evaluate the Effects of Recommender Systems for Learners in Informal Learning Networks
... Sarwar et al. [19] has proven that item-based CF can give more accurate results than user-based CF for very large datasets (larger than movielens.org). Sarwar et al. also measured a higher performance of item-based CF ...
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Collaborative Recurrent Neural Networks for Dynamic Recommender Systems
... 1. Introduction As ever larger parts of the population routinely consume online an increasing amount of digital goods and services, and with the proliferation of affordable storage and computing resources, to gain ...
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Semantically-enhanced advertisement recommender systems in social networks
... programming, using mixes of a few programming dialects, for example, Ruby, PHP, Python, and/or Java Often APIs are used to attach non-social sites to social sites, one case being ...
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A Study of Recommender Systems on Social Networks and Content based Web Systems
... 4.1 Display Similar Items Similar item recommendation is one alteration from traditional techniques which large e-commerce websites often implement because the need to scan a vast number of potential neighbors (in case ...
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Enhancing Recommender Systems Using Social Indicators
... to recommender systems for individuals and groups of individuals that leverage social indicators in novel ...of recommender systems for individuals and small ...social networks (OSNs), ...
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The Wisdom of Networks: Matching Recommender Systems and Social Network Theories
... [15] tested a social network filtering algorithm using data from Epinions.com, the only available dataset that combines explicit user ratings and social networks. On this website, consumers can rate ...
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Engendering the Reference Links for the Preference Elicitation Problem in Social Networks using Recommender Systems Techniques
... ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The analysis on Social Networks converges on revealing the ...
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Secure Decentralised Storage Networks
... a decentralised network via a relatively untrusted ...endpoint systems, to establish a view of the current ...devices using Android Device Manager, violating user assumptions of the security of ...
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Recommender Systems the Textbook
... by using the ratings input of the other three items as training columns, and the fourth as the test ...neural networks are shown in Figure ...neural networks in the first ...neural networks are ...
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Using self reported social networks to improve opportunistic networking
... By using this approach REL- ICS is suitable for use in ad-hoc, decentralised opportunistic networks such as those used in the simulations in this ...
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Trust networks for recommender systems
... by issuing a few trust statements, compared to a similar amount of rating infor- mation, the system can generate more, and more accurate, recommendations [91] (more on this topic in Chapter 7). Moreover, a web of trust ...
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Deep Neural Networks for Recommender Systems
... it. Recommender Systems are effective software techniques to overcome this ...interest. Recommender systems have wide applications like providing suggestive list of items to customers for ...
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Recommender Systems using Collaborative Filtering
... the recommender system that Amazon used, it was ob- served that the traditional collaborative filtering algorithm was not being ...Amazon recommender system doesn’t use the User-based and Cluster models due ...
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Recommender Systems using Graph Theory
... 3. Existing Algorithms We have already seen that the Graph Theory approach to Recommender Systems is better than the conventional approach. In the graph representation of ratings, the common ratings form ...
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Maximizing profit using recommender systems
... recommendation systems make recommendations based solely on the customer’s past purchases, product rat- ings and demographic data without considering the prof- itability of the items being ...traditional ...
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