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Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations
Our experiments show that both hybrid index and search schemes can improve the recall of the initial retrieval stage with small overhead.
Learning Visual Features from Snapshots for Web Search
In this work, we propose to learn rich visual features automatically from the layout of Web pages (i. e., Web page snapshots) for relevance ranking.
Incorporating Semantic Knowledge into Latent Matching Model in Search
One technical challenge with the approach is that it is hard to train a model for tail queries and tail documents for which there are not enough clicks.
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