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Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation?
[article]
2022
Traditional information retrieval (IR) ranking models process the full text of documents. Newer models based on Transformers, however, would incur a high computational cost when processing long texts, so typically use only snippets from the document instead. The model's input based on a document's URL, title, and snippet (UTS) is akin to the summaries that appear on a search engine results page (SERP) to help searchers decide which result to click. This raises questions about when such
doi:10.48550/arxiv.2201.08721
fatcat:fhlqaiwnfvdchlksl44cu5qefq