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Found 3 papers, 1 papers with code
The Simpson's Paradox in the Offline Evaluation of Recommendation Systems
Using the relative comparison of many recommendation models as in the typical offline evaluation of recommender systems, and based on the Kendall rank correlation coefficient, we show that our proposed evaluation methodology exhibits statistically significant improvements of 14% and 40% on the examined open loop datasets (Yahoo!
Learning to Reformulate the Queries on the WEB
One effective approach is query reformulation, which generates new effective queries according to the current query issued by users.
Neural Machine Transliteration: Preliminary Results
The encoder is a Bidirectional recurrent neural network that encodes a sequence of symbols into a fixed-length vector representation, and the decoder generates the target sequence using an attention-based recurrent neural network.
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