# Gary Robinson

### Gary Robinson

Gary Robinson
Nationality American
Education Bard College,
Courant Institute[1]
Occupation Computer programmer
Employer Emergent Music LLC[1]
Known for SpamBayes,
SpamAssassin,
Recommendation engine,
Collaborative filtering
Title Chief Technology officer[1]
Website
GaryRobinson.net

Gary Robinson is an American software engineer notable for his mathematical algorithms to fight spam.[2]

## Fighting spam with algorithms

In 2003, Robinson published an article in Linux Journal which discussed mathematical approaches for fighting spam which led to work along with Tim Peters on the SpamBayes project which began in 2002.[3][4] The SpamBayes approach was notable because it assigned scores to both spam and ham (useful emails) and used an algorithm to guess intelligently whether an incoming email was spam; the scoring system enabled the program to return a value of unsure if both the spam and ham scores were high.[5] His mathematical approaches were also used in projects such as SpamAssassin.[6][7] SpamAssassin combined a Bayesian statistical approach using a text-classifier rule-based approach to whittle down spam.[7][8] Spamming is the abuse of electronic messaging systems to send unsolicited, undesired bulk messages, according to David Anderson, who quoted Robinson's approaches in 2006.[9] Robinson commented in Linux Journal on how fighting spam was a collaborative effort:

The approach described here truly has been a distributed effort in the best open-source tradition. Paul Graham, an author of books on Lisp, suggested an approach to filtering spam in his on-line article, “A Plan for Spam”. I took his approach for generating probabilities associated with words, altered it slightly and proposed a Bayesian calculation for dealing with words that hadn't appeared very often … an approach based on the chi-square distribution for combining the individual word probabilities into a combined probability (actually a pair of probabilities—see below) representing an e-mail. Finally, Tim Peters of the Spambayes Project proposed a way of generating a particularly useful spamminess indicator based on the combined probabilities. All along the way the work was guided by ongoing testing of embodiments written in Python by Tim Peters for Spambayes and in C by Greg Louis of the Bogofilter Project. The testing was done by a number of people involved with those projects. — Gary Robinson, 2003.[4]

## Online music

In 2010, Robinson was the chief technology officer at FlyFi, an online music service owned by Maine-based[10] Emergent Discovery which uses his anti-spam programming techniques along with collaborative filtering technologies to help make music recommendations to web users.[11][12] His blog Gary Robinson's Rants has been quoted by others in the computer and online music industries[11] and cited by academic papers.[9][13][14] Robinson helped develop recommendation engine technology which applies high-power mathematical techniques using software algorithms to have a computer guess intelligently about what a consumer might like.[15] For example, if a consumer likes music by artists such as the Beach Boys, Bob Dylan and the Talking Heads, the computer software will match these preferences with a much larger dataset of other consumers who also like those three artists but which cumulatively has much greater musical knowledge than the single consumer. Accordingly, the computer will find music that the user might like but hasn't been exposed to, and therefore hopefully offer intelligent recommendations. But the mathematics behind such comparisons can become quite complex and involved. Robinson studied mathematics at Bard College and graduated in 1979 and studied further at the Courant Institute of New York University.[1] In the 1980s, Robinson worked on an entrepreneurial start-up dating service called 212-Romance which used similar computer algorithms to match singles romantically.[16] The New York City-based voice mail dating service created community-based automated recommendations and used collaborative filtering technologies which Robinson developed further in other capacities.