Search Results for author:
Found 3 papers, 1 papers with code
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval
Extensive experiments on two real-world datasets (product and mini-program search) show that our approach can outperform competitive baselines both treating aspect values as classes and conducting the same MLM for aspect and content strings.
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
