
This research activity focuses on enhancing the performance of the Async MinHash LSH module by removing batch removal functionality. The goal is to improve the efficiency of the module by eliminating the need for Redis support, which does not support async operations. By doing so, the module can operate more effectively, leading to better overall performance. The research will involve analyzing the current implementation, identifying areas for improvement, and implementing the necessary changes to achieve the desired outcome. The expected outcome of this research activity is a more efficient and effective Async MinHash LSH module that can handle large datasets with ease.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
