mlsanityData to 7 Oct 2026

Recency Ranking by Diversification of Result Set

arXiv 2401.14595 ↗First posted 26 Jan 2024cs.IRcited by 5

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Abstract (arXiv)

In this paper, we propose a web search retrieval approach which automatically detects recency sensitive queries and increases the freshness of the ordinary document ranking by a degree proportional to the probability of the need in recent content. We propose to solve the recency ranking problem by using result diversification principles and deal with the query's non-topical ambiguity appearing when the need in recent content can be detected only with uncertainty. Our offline and online experiments with millions of queries from real search engine users demonstrate the significant increase in satisfaction of users presented with a search result generated by our approach.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 Jan 2024.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 2.

5 papers.