Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Methods and metrics for cold-start recommendations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A New Probabilistic Model of Text Classification and Retrieval TITLE2:
A New Probabilistic Model of Text Classification and Retrieval TITLE2:
The SemEval-2007 WePS evaluation: establishing a benchmark for the web people search task
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Probabilistic latent semantic analysis
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
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In this paper we describe our participation in the SemEval 2007 Web People Search task. Our main aim in participating was to adapt language modeling tools for the task, and to experiment with various document representations. Our main finding is that single pass clustering, using title, snippet and body to represent documents, is the most effective setting.