With the dissolution of much of Live Labs, I have decided to resign from Microsoft. I will be leaving at the end of April.
Working at Microsoft on search and advertising turned out to be a lot of fun. High impact, useful, and interesting problems are everywhere.
For example, during my time there, I had a chance to work a bit on advertising relevance (for work with similar motivation, see [1] in Section 6.2 and [2]), search relevance (closest public example of something vaguely similar might be [1]), improving the quality of human judgments (vaguely similar to the ideas published in [1] and [2]), looking at new evaluation methods for search (motivated by [1]), ubiquitous online experimentation (same goals as ExP), personalized web search (like Findory and motivated by [1] and [2]), personalized advertising (see [1]), and large scale data analyses (see [1]).
And, as fun as the problems were the people. I had a chance to talk with so many at Microsoft, from celebrated researchers to the hard-working talent pounding on the code. It was very enjoyable to work on such a breadth of problems and with so many different people. I did much, learned much, and I will miss it.
As for next steps, I will be taking some time before settling into anything new. I still hold the same passion for taming information overload, for personalizing the data streams of the Web to make them relevant, helpful, and useful. Whoever manages to change the nature of content display on the Web from a search problem to a recommender problem will reap tremendous rewards. I hope to play my part in that shift.
Working at Microsoft on search and advertising turned out to be a lot of fun. High impact, useful, and interesting problems are everywhere.
For example, during my time there, I had a chance to work a bit on advertising relevance (for work with similar motivation, see [1] in Section 6.2 and [2]), search relevance (closest public example of something vaguely similar might be [1]), improving the quality of human judgments (vaguely similar to the ideas published in [1] and [2]), looking at new evaluation methods for search (motivated by [1]), ubiquitous online experimentation (same goals as ExP), personalized web search (like Findory and motivated by [1] and [2]), personalized advertising (see [1]), and large scale data analyses (see [1]).
And, as fun as the problems were the people. I had a chance to talk with so many at Microsoft, from celebrated researchers to the hard-working talent pounding on the code. It was very enjoyable to work on such a breadth of problems and with so many different people. I did much, learned much, and I will miss it.
As for next steps, I will be taking some time before settling into anything new. I still hold the same passion for taming information overload, for personalizing the data streams of the Web to make them relevant, helpful, and useful. Whoever manages to change the nature of content display on the Web from a search problem to a recommender problem will reap tremendous rewards. I hope to play my part in that shift.