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🔫 Zero-Shot Retrieval for Scalable Visual Search in a Two-Sided Marketplace

arxiv.org/abs/2508.05661

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arXiv.orgZero-Shot Retrieval for Scalable Visual Search in a Two-Sided MarketplaceVisual search offers an intuitive way for customers to explore diverse product catalogs, particularly in consumer-to-consumer (C2C) marketplaces where listings are often unstructured and visually driven. This paper presents a scalable visual search system deployed in Mercari's C2C marketplace, where end-users act as buyers and sellers. We evaluate recent vision-language models for zero-shot image retrieval and compare their performance with an existing fine-tuned baseline. The system integrates real-time inference and background indexing workflows, supported by a unified embedding pipeline optimized through dimensionality reduction. Offline evaluation using user interaction logs shows that the multilingual SigLIP model outperforms other models across multiple retrieval metrics, achieving a 13.3% increase in nDCG@5 over the baseline. A one-week online A/B test in production further confirms real-world impact, with the treatment group showing substantial gains in engagement and conversion, up to a 40.9% increase in transaction rate via image search. Our findings highlight that recent zero-shot models can serve as a strong and practical baseline for production use, which enables teams to deploy effective visual search systems with minimal overhead, while retaining the flexibility to fine-tune based on future data or domain-specific needs.
#ir#Images#markets

Back in the early 1980s, MIS and IFSM sprouted out of #CS, as business-focused tech fields. In due course, those newer fields organised themselves into "business analysts" and "system administrators", bolstered by their MBAs, of course.

But Data Science and Vibe Coding, hatched by the latest AI hype (by my count, the 5th one, after Rosenblatt, Minsky, Rumelhart, Hinton, and Vaswani), are beginning to swallow CS, mainly because run-of-the-mill colleges are dumbing down their CS curricula to better match the fashion trends of DS and VC.

CS educators must now band up together and stand up for their field's very identity.

Antwortete amen zwa, esq.

@AmenZwa
> Ubiquitous quantum computing is but a pipe dream

It also isn't known to be able to do much beyond security applications like public key cryptography even in principle, despite the vast number of hucksters who give the impression that it will solve all problems in extreme parallelism, which is simply false.

> It is high time the FPGA/ASIC hardware design courses trickle from the #EE curriculum down to the #CS curriculum.

I've done extensive work with FPGAs (and some ASICs) over the years, and they are undeniably very useful.

But programmers can't just learn Verilog as if it's another programming language. They would need to learn a certain amount of the EE curriculum beyond just focused things like that.

Wait, I get it, you're proposing that they will use AI to get around that need. 😆

The CPUs' heyday of Moore's Law and Dennard Scaling are over. GPUs and TPUs had saturated the market. Ubiquitous quantum computing is but a pipe dream. So, what's next?

#FPGA and #ASIC, of course, especially considering the steep, upward tick in growth and availability of lower-cost hardware components and higher-capability software tools.

For over 40 years, these technologies had been in heavy use in the specialised fields of DSP, avionics, I/O, networks, and the like, mainly due to the considerable demands they place upon development costs and engineering skills. But the recent advances in HLS and HDL software, along with low-cost hardware boards, IP blocks, and SoCs, had rendered these technologies competitive with the conventional CPU- and MCU-based approaches, for use in broader, industrial applications.

It is high time the FPGA/ASIC hardware design courses trickle from the #EE curriculum down to the #CS curriculum.

But then, there are so-called "higher education" institutions that have already replaced instructors with LLMs, so what do I know, really....

The new algorithm for directed cheapest routes "slices the graph into layers, moving outward from the source like Dijkstra’s. But rather than deal with the whole frontier at each step, it uses the Bellman-Ford algorithm to pinpoint influential nodes, moves forward from these nodes to find the shortest paths to others, and later comes back to other frontier nodes. It doesn’t always find the nodes within each layer in order of increasing distance, so the sorting barrier doesn’t apply. And if you chop up the graph in the right way, it runs slightly faster than the best version of Dijkstra’s algorithm. It’s considerably more intricate, relying on many pieces that need to fit together just right. But curiously, none of the pieces use fancy mathematics."

quantamagazine.org/new-method-

Quanta Magazine · New Method Is the Fastest Way To Find the Best Routes | Quanta MagazineA canonical problem in computer science is to find the shortest route to every point in a network. A new approach beats the classic algorithm taught in textbooks.

A possible #FP #learning path for #CS students of all levels, from an introductory level to an advanced level:

• "Introduction to Functional Programming", Bird (1988)
• "The Implementation of Functional Programming Languages", Peyton Jones (1987)

• "Introduction to Automata Theory, Languages, and Computation", Hopcroft (1979)
• "Handbook of Theoretical Computer Science, Volume B: Formal Models and Semantics", Leeuwen (1994)

• "An Introduction to Functional Programming Through 𝜆-Calculus", Michaelson (2011)
• "Introduction to Combinators and 𝜆-Calculus", Hindley (1986)

• "Category Theory for Programmers", Milewski (2019)
• "Category Theory", Awodey (2008)

• "Types and Programming Languages", Pierce (2002)
• "Homotopy Type Theory", The Univalent Foundations Programme (2013)

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乃木坂46とJR四国グループによる初のコラボ企画が実現します。2025年8月16日(土)、17日(日)にあなぶきアリーナ香川で開催される「乃木坂46 真夏の全国ツアー2025」香川公演を記念し、8月を通して「THE NO [...]
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moezine.com/2013429/