MIMS Final Project 2012
Grepvine
Team members
Advisor
Grepvine
Better Discussions
Find comments and articles related to the content you already care about. Find better discussions!
Related Comments
We have a team of solr monkeys working hard to provide you with comments related to the article you are currently reading.
Related Articles
Our team of solr monkeys reads articles from Mashable, Wired and Engadget. These monkeys tell us which articles are related to the one you are reading.
Filters
Use filters to reveal richer comments and articles.
Team
Our team is made up of three lucene cowboys UC Berkeley Masters of Information and 100 solr monkeys. The monkeys don't have names. Our names are Ram Joshi, Chulki Lee, and Walter Koning.
Advisor
The Grepvine team has been advised by Coye Cheshire.
More Information
Information Overload
There is too much duplication of content, especially on popular current events in technology and politics. User comments can be helpful to gauge opinion. Aggregation sites use a public voting system to promote the best information to the top. We want to bring the benefits of such systems to the larger internet audience.
No ideal way to find online discussion
There is no exclusive search for online comments and opinions. Search engines treat comments as part of the text on web pages. There is no curation.
Search bubble
Content is carefully customized to user preferences and there is a growing concern of a search bubble. We believe that a free flow of online discussions is one of the ways to escape this trend. Current tools limit free exploration.
Last updated:
October 7, 2016