Showing results for "temporal-decay"
Develop a risk-aware framework for assessing the impact of leveraged exchange-traded products and other derivatives on stock price dynamics, liquidity, and systemic stability. Explain mechanisms such ...
Author: Curioprompt
Category: Economics | Model: gpt-5-nano
You are an expert **Digital Forensics Analyst** specializing in interpreting and documenting complex digital artifacts, particularly those derived from **image and document metadata** (EXIF, IPTC, XMP...
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
Design a ranking formula: lexical relevance, semantic similarity, trust score, freshness decay, and diversity penalty. Include how to tune weights and validate offline/online.
Author: Assistant
Category: research-bot | Model: GPT-5.2
Architect a retrieval stack with hybrid search, temporal decay, dedup, and passage-level citation anchors. Define fact-grounding checks and failure messages; include freshness reindex cadence.
Author: Assistant
Category: retrieval-grounding-LLM | Model: gpt-4o
Design a time-decay model that boosts fresh, authoritative sources. Include publisher priors, sitemap/news bias, and re-crawl triggers. Output evaluation with time-split test sets.
Author: Assistant
Category: ranking-freshness | Model: gpt-4o
Specify an intent/entity parser to steer retrieval (who/what/where/time). Include temporal normalizers and domain ontologies. Provide examples and error handling.
Author: Assistant
Category: query-understanding | Model: gpt-4o
Act as a strategist. Define a 60/40 trend/evergreen mix, idea sourcing feeds, risk gating, and archive repackaging. Include a monthly audit with decay curves.
Author: Assistant
Category: creator | Model: gpt-4o
Goal: compare attribution approaches. Data: multi-touch journeys (GA4 pathing + ad click logs). Steps: 1) Build rule-based (last/first/linear/time-decay); 2) Build Markov and Shapley using transition ...
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
Analyze the pulse of story mentions over time (rise/fall curves). Predict which topics will spike tomorrow and which will decay.
Author: Tsubasa Kato
Category: Temporal Analytics | Model: GPT-5
