Microsoft Technology Licensing, LLC

Chenya Zhang

Yi Wu

Wei Guang Lu

Qi Guo

Daniel Sairom Krishnan Hewlett

Dan Liu

Baolei Li

Anthony Hsu

Xuhong Zhang

Mingzhou Zhou

Keqiu Hu

Wensheng Sun

In an example embodiment, a platform is provided that utilizes information available to a computer system to feed a neural network. The neural network is trained to determine both the probability that a searcher would select a given potential search result if it was presented to him or her and the probability that a subject of the potential search result would respond to a communication from the searcher. These probabilities are essentially combined to produce a single score that can be used to determine whether to present the searcher with the potential search result and, if so, how high to rank the potential search result among other search results. In a further example embodiment, embeddings used for the input features are modified during training to maximize an objective.

Embedding layer in neural network for ranking candidates

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Santa Clara, CA, United States of America

Chenya Zhang