The WUT21 team participated in the IR subtask of the NTCIR-16 Data Search 2 Task. This paper reports our approach to solving the problem and discusses the official results. Our approach aims to choose a simple base model, for the IR subtask, using a document-based storage method to facilitate retrieval of specified fields, thereby formulating a retrieval strategy. Elastic Search is a distributed full-text search and analysis engine based on Lucene, which has the advantages of high performance, high scalability, and real-time performance. Based on Elastic Search, the strategy uses embedded retrieval algorithms to retrieve topics and calculate text similarity, and select the optimal algorithm to match topic texts according to the final evaluation index NDCG@10. The final results show that the basic text similarity algorithm has a relatively high contribution performance for information retrieval tasks.
Li et al. (Tue,) studied this question.