Information Retrieval
Description
The 12 full papers presented were carefully reviewed and selected from 102 submissions. The papers are organized in topical sections: search and recommendation, NLP for IR, and IR in finance.
* Due to the COVID-19 pandemic the conference was held online supplemented with local on-site events.
More details
Other editions
Additional editions
Content
Search and Recommendation .- Improving Search Snippets in Context-aware Web Search Scenarios.- Investigating Fine-grained Usefulness Perception Process in Mobile Search.- ResFusion: A Residual Learning based Fusion Framework for CTR Prediction.- NLP for IR.- A Framework for Identifying Event's Relevance Comments in Twitter.- Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction.- Leveraging Label Semantics and Correlations for Judgment Prediction.- Position-aware hybrid attention network for Aspect-level Sentiment Analysis.- IR in Finance .- An Integrated Machine Learning Framework for Stock Price Prediction.- Empirical Research on Futures Trading Strategy Based on Time Series Algorithm.- Hierarchical Attention Network in Stock Prediction.- Online Topic Detection and Tracking System and its Application on Stock Market in China.- Semi-Supervised Sentiment Analysis for Chinese Stock Texts in Scarce Labeled Data Scenario and Price Prediction.
