[ https://issues.apache.org/jira/browse/MAHOUT-329?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved MAHOUT-329. ------------------------------ Assignee: Robin Anil Resolution: Later Shelving this as GSoC projects are set and if something like this is taken up, it'd probably be in the form of a more specific proposal to implement an algorithm. > Implement some recommendation ideas used by the Netflix top teams to boost > the recommenders package > --------------------------------------------------------------------------------------------------- > > Key: MAHOUT-329 > URL: https://issues.apache.org/jira/browse/MAHOUT-329 > Project: Mahout > Issue Type: New Feature > Components: Collaborative Filtering > Reporter: Robin Anil > Assignee: Robin Anil > > A student with a good proposal > - should be free to work for Mahout in the summer and should be thrilled to > work in this area :) > - should be able to program in Java and be comfortable with datastructures > and algorithms > - must be clear about the algorithm or heuristic, how it works, its > strengths, its weaknesses and possible tweaks. > - must have a plan on making it a map/reduce implementation > - should be able to show the improvement on the netflix data as compared to > the baseline recommender package by the end of summer of code > - must have clear deadlines and pace it evenly across the span of 3 months. > - may have a background in these area. Past work, thesis etc counts, so show > it in the proposal clearly > If you can do something extra it counts, but make sure the plan is reasonable > within the specified time frame. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.