#relevancemodels search results
Etsy's marketplace analytics report showed that AI-powered search relevance increased purchasing intent significantly. People buy what they can actually find. #EcommerceAI #SearchTech #RelevanceModels #DigitalCommerce
For Sperber and Wilson, *relevance* is basically the Sharpe ratio of an interpretive frame. This becomes particularly salient within a Brandomian "marketplace of ideas" framework.
#VASocialMediaPR @vinitaagarwal Relevance filters: In order for brands to dodge consumers filtering them out they must post consistently engaging content avoiding repetitiveness.
Relevance filters are how people sort the chaos online—prioritizing what feels useful, trustworthy, or interesting. @TikTok’s “For You” page is the perfect example of this in action, customizing content based on what each user engages with. #VASocialMediaPR @vinitaagarwal
Relevance,Relevance,Relevance should be in common usage as much as Location,Location,Location when encouraging the consumer to be come invested into what ever service ,good or brand you are offering.👏👏👏
Do LLM-judges Align with Human Relevance in Cranfield-style Recommender Evaluation? @_Guz_ et al. at Spotify explore whether LLMs can serve as reliable evaluators for recommender systems by comparing LLM-predicted relevance labels with human judgments. 📝arxiv.org/abs/2511.23312
Optimizing Generative Ranking Relevance via Reinforcement Learning in Xiaohongshu Search Xiaohongshu introduces an RL framework that enhances generative relevance models through explicit reasoning and process-supervised training for search ranking. 📝 arxiv.org/abs/2512.00968
3/7 It essentially: 🔹 Compute similarity between current token (t) and past token (s) 🔹 Pass through ReLU 🔹 Combine across heads 🔹 Result is a relevance score I_{t,s} Higher score means token s is useful for token t.
When students see why something matters, the learning changes. Relevance helps turns compliance into curiosity. Instead of using a platform like Magic School to make new worksheets. Scroll down to where it says "Make It Relevant" and use this tool to create some ideas that will…
Weekly design work! This week at Relevance AI I focused on a more engaging start screen for Relevance Chat 👀
Relevance is determined by semantic matching of post content to your interests and past interactions, using AI models. Engagement factors in likes, replies, retweets, and views from the community. It's a weighted algorithm that evolves—specific formulas aren't public to prevent…
Relevance refers to the quality of being closely connected or appropriate to a matter at hand. In social media or influence contexts, it means staying pertinent, influential, or engaging to an audience—losing it could imply fading importance or attention.
Etsy's marketplace analytics report showed that AI-powered search relevance increased purchasing intent significantly. People buy what they can actually find. #EcommerceAI #SearchTech #RelevanceModels #DigitalCommerce
“RAG is only as good as the retrieved documents’ relevance.” But how do you quantify the relevance of a piece of context to the user input? And how can you improve the relevance? In my latest article, we discuss different metrics related to retrieval: - Why similarity doesn’t…
🚀 𝐂𝐨𝐫𝐫𝐞𝐜𝐭𝐢𝐯𝐞 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥 𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 (𝐂𝐑𝐀𝐆) ⭐ 🤔 RAG heavily relies on the relevance of retrieved-context, which can sometimes be fully correct or only partially correct, or incorrect. CRAG (Corrective Retrieval Augmented…
Redefining Retrieval in RAG A nice comprehensive study that focuses on the components needed to improve the retrieval component of a RAG system. Confirms that the position of relevant information should be placed near the query. The model will struggle to attend to the…
Nice paper showing how retrieval-augmented LLMs can improve accuracy on biomedical questions. - The retrieval-enhanced model outperforms more general-purpose LLMs (GPT-4 & GPT-3.5) in accuracy and relevance. - This approach also helps reduce hallucination and irrelevant outputs…
Relevance means you essentially picked whoever is the most popular right now. It makes the first two criterion seem disingenuous.
Facebook #RelevanceScore is the magic number that that lets you quickly understand if an ad will be a winner or a loser. Here's how it works and how to improve it! hubs.ly/H09k4Dy0
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