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Context Models For Web Search Personalization
February 02, 2015 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Maksims Volkovs
arXiv ID
1502.00527
Category
cs.IR: Information Retrieval
Citations
23
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We present our solution to the Yandex Personalized Web Search Challenge. The aim of this challenge was to use the historical search logs to personalize top-N document rankings for a set of test users. We used over 100 features extracted from user- and query-depended contexts to train neural net and tree-based learning-to-rank and regression models. Our final submission, which was a blend of several different models, achieved an NDCG@10 of 0.80476 and placed 4'th amongst the 194 teams winning 3'rd prize.
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