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The easiest performance win in React isn't always your JavaScript. Sometimes it's your images. I used to think performance optimization meant splitting bundles, memoizing components, and chasing Lighthouse scores. Then…
The impact of AI has led to a shift in interest from Search Engine Optimisation (SEO) to Answer Engine Optimisation The post “Twenty years of brand building simply froze in time”: How coding agents select their tools of…
arXiv:2603.13320v2 Announce Type: replace-cross Abstract: Nepali, a low-resource language, faces significant challenges in building an effective information retrieval system due to the unavailability of annotated data…
arXiv:2609.05063v1 Announce Type: new Abstract: When a customer adds a professional camera to their cart, should the system suggest a matching lens, a generic tripod, or another camera body? Complementary Product…
arXiv:2608.30130v3 Announce Type: replace Abstract: Retrieval-augmented language models can fail to respect negative constraints when the retriever supplies evidence about concepts the user explicitly excluded. Beyond…
arXiv:2609.04882v1 Announce Type: new Abstract: Agentic recommender systems use large language models to maintain semantic memory and support evidence-aware recommendation. However, existing memory mechanisms often…
arXiv:2609.04658v1 Announce Type: new Abstract: Multi-omic studies increasingly require data to be examined from complementary biological perspectives, yet interactive exploration remains fragmented across modalities…
arXiv:2609.04862v1 Announce Type: new Abstract: Optimizing multiple conversion objectives is a core challenge in industrial recommendation, often limited by signal erosion in rigid architectures. Existing Multi-Task…
arXiv:2502.08346v4 Announce Type: replace Abstract: Recommender systems (RS) serve as a fundamental tool for navigating the vast expanse of online information, with deep learning advancements playing an increasingly…
arXiv:2609.05116v1 Announce Type: cross Abstract: Aircraft technicians are required to consult the maintenance manual (MM) for nearly every task, and locating the relevant procedure across hundreds of pages remains…
arXiv:2609.04813v1 Announce Type: new Abstract: Early in deployment, an AI search system typically operates over a frequently updated product catalog, so the available items and their properties cannot be treated as…
arXiv:2609.05110v1 Announce Type: new Abstract: Dense retrieval systems are core components of modern search engines, recommendation platforms, and retrieval-augmented generation pipelines. They encode documents and…
arXiv:2609.04504v1 Announce Type: cross Abstract: Cardiac, neural, behavioral, and speech measurements from wearable and mobile devices provide partial, noise-sensitive views of physiological state. BioSync combines…
arXiv:2609.01807v2 Announce Type: replace-cross Abstract: Large language models (LLMs) achieve state-of-the-art generative ranking quality, but the ranking they produce must be decoded, and autoregressive decoding…
arXiv:2609.04647v1 Announce Type: cross Abstract: Traditional Retrieval-Augmented Generation (RAG) systems score each passage independently against the query, assembling context sets that may be individually relevant…
arXiv:2609.04574v1 Announce Type: new Abstract: Multimodal Graph Neural Networks have become standard for recommendation by augmenting sparse interaction data with content features. Yet current architectures face two…
arXiv:2609.03290v2 Announce Type: replace Abstract: Unified modeling has become a major direction for industrial click-through rate (CTR) prediction. Existing approaches typically unify sequential and non-sequential…
arXiv:2609.04269v1 Announce Type: cross Abstract: Deciding whether two supplier records belong to the same corporate family is a prerequisite for spend consolidation, credit exposure aggregation and sanctions screening.…
arXiv:2609.04961v1 Announce Type: new Abstract: E-commerce search often suffers from vocabulary mismatch between user queries and merchant-authored product titles, since short titles cannot fully cover diverse user…