cs.IR · 2026-06-11 · No. 20

Information Retrieval, 2026-06-11.

2 new papers in cs.IR. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    DiffCold: A Diffusion-based Generative Model for Cold-Start Item Recommendation

    Kangning Zhang, Yingjie Qin, Weinan Zhang, Yong Yu, Jianghao Lin

    cs.IR · cs.AI

    Cold-start item recommendation remains a persistent challenge in real-world systems due to the absence of interaction histories. While prior models attempt to bridge this gap using item content features, they universally suffer from the \textbf{seesaw dilemma}: enhancing performance for cold items inevitably degrades performance for warm items, and vice versa. We identify that this dilemma stems from a fundamental \textbf{distributional...

    arxiv.org/abs/2606.12245 · PDF

  2. 02

    What Limits Does Quantization Place on Dense Top-$k$ Retrieval? A Theoretical Study

    Koki Okajima, Tsukasa Yoshida

    cs.IR · cs.AI · cs.IT

    We establish conditions for embedding a corpus of $N$ documents as $d$-dimensional vectors such that every $k$-subset $S \subseteq [N]$ is realizable as a result of top-$k$ retrieval by some query vector. Recent work shows that $d = O(k)$ suffices for such embeddings to exist in $\mathbb{R}^d$, independently of $N$. We theoretically prove that this corpus-independent bound is specific to infinite precision. With $B$ bits per coordinate,...

    arxiv.org/abs/2606.11780 · PDF

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