Improved Metric Factorization Recommendation Algorithm Based on Social Networks and Implicit Feedback

Context-aware factorization methods for implicit feedback based recommendation problems

Implicit Feedback Recommendation for Plant-pollinator Networks

Examining and evaluating complex ecological communites is a popular study area of significant ecological value. Mutualistic plant-pollinator networks are an especially important community because of the crucial role of pollinator in food production, yet much is still unkown about the underlying community structures of these networks, as well as their stability under enviornmental pertubation. W...

Implicit Feedback Based Recommendation and Collaboration

Recommendation, collaboration and other tasks play important role on the adaptive web. For such tasks, user feedback is needed. Explicit feedback interrupts user and obtaining quality explicit feedback is problematic. On the other hand, users provide implicit feedback uninterrupted without knowing that they are rating. Traditional implicit feedback on the web – tracking of mouse and keyboard in...

A Matrix Factorization Algorithm for Music Recommendation using Implicit User Feedback

The goal of recommender systems is to make personalized product recommendations based on users’ taste. As the Netflix challenge demonstrated, one of the the most effective way to build such systems is through matrix factorization. Matrix factorization algorithms utilize prior product feedback given by users to automatically build user and product profiles. A product can then be recommended to a...

Towards Time-Dependant Recommendation based on Implicit Feedback

Context-aware recommender systems (CARS) aim at improving users’ satisfaction by tailoring recommendations to each particular context. In this work we propose a contextual pre-filtering technique based on implicit user feedback. We introduce a new context-aware recommendation approach called user micro-profiling. We split each single user profile into several possibly overlapping sub-profiles, ...