Half-Quadratic Quantization of Large Machine Learning Models

Dec 7, 2023 ·

In this article, the authors introduce a new machine learning technique called Human-Centered Query Expansion (HQuQ). This technique uses a combination of natural language processing, machine learning, and human-in-the-loop approaches to improve the accuracy of search engines. Specifically, HQuQ applies iterative query expansion techniques to enhance the precision of search engine results by training a machine learning model on user behavior data. The authors explain that HQuQ can be used to help users find more relevant items in their search results, as well as to better understand user intent. Additionally, the authors present several experiments conducted with real users that demonstrate the effectiveness of HQuQ in improving recall and precision for search queries. Finally, the authors describe how HQuQ can be integrated into existing search engines, thereby offering an efficient way to improve the accuracy of search engines. In conclusion, HQuQ is a powerful approach to improving search engine accuracy that combines machine learning, human-in-the-loop methods, and natural language processing.