A lucene optimization algorithm combining word sequence features

作者：Huang, Tao; Li, Yong Dan; Zhang, Hao^*; Zhang, Wen Jun

来源：4th International Conference on Frontiers of Educational Technologies, ICFET 2018, Jointly with its Workshop the 3rd International Conference on Knowledge Engineering and Applications, ICKEA 2018, 2018-06-25 To 2018-06-27.

DOI：10.1145/3233347.3233376

• Full-text search
• Lucene
• Optimization algorithms
• Relevance ranking
• Search Algorithms
• Similarity scores
• Vector space models
• Visualization technologies

Aiming at the ElasticSearch search engine used in the research and demonstration platform of local chronicles visualization technology, the content searched only by the keyword in the local chronicles'full text search process is not accurate enough, a Lucene optimization algorithm combines the feature of the terms'sequence relationship is proposed after one of the core algorithm-Similarity Score Algorithm is reflected thoroughly by analyzing Lucene which is in the bottom of ElasticSearch. The experiment result shows that the algorithm proposed enhances the mean average precision for searching by 6 percentage points approximately compared with Luene default search algorithm, which helps to achieve accurate searching of the local chronicles'text.

• 出版日期2018
• 单位华中师范大学