WebThe most relevant work is the study of a series of collaborative bandit algorithms which take as input the explicitly given or implicitly learnt social relationship among users, to design online ... Webfrom developer interactions. LinUCB [4], COFIBA [5] and BiUCB [6] are three algorithms utilizing reinforcement learn-ing. Sungwoon Choi also proposed a reinforcement learning based recommender system using Biclustering technique [7]. All these algorithms claim to solve cold-start problem quite well. However, they only focus on reinforcement ...
CoLinUCB_Revised/COFIBA.py at master - Github
WebRecommendation is one key functionality of software crowdsourcing platforms, which is responsible for recommending developers appropriate software projects, or vice versa. Meanwhile, software crowdsourcing recommendation in practice usually faces a cold-start problem: a platform has not yet gathered sufficient information, and thus its … WebFeb 11, 2015 · Specifically, we describe and analyze an adaptive and efficient clustering of bandit algorithm that can perform collaborative filtering, named COFIBA (pronounced as … tati photo
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