IRDec 23, 2021

Customising Ranking Models for Enterprise Search on Bilingual Click-Through Dataset

arXiv:2112.12773v1
Originality Synthesis-oriented
AI Analysis

This addresses search efficiency for enterprise users, but appears incremental as it combines existing IR methods.

The paper tackles enterprise search for technical documents using a bilingual click-through dataset, establishing an end-to-end system and reporting results with NDCG@k metrics.

In this work, we provide the details about the process of establishing an end-to-end system for enterprise search on bilingual click-through dataset. The first part of the paper will be about the high-level workflow of the system. Then, in the second part we will elaborately mention about the ranking models to improve the search results in the vertical search of the technical documents in enterprise domain. Throughout the paper, we will mention the way which we combine the methods in IR literature. Finally, in the last part of the paper we will report our results using different ranking algorithms with $NDCG@k$ where k is the cut-off value.

Foundations

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