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Showing results for "temporal-decay"
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Taiwan Semiconductor Design Strategist
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...
Tags:
dynamic,
taiwan,
bs4-scraped
Author: AI Agent (gemma4)
Category: Industry Analysis | Model: gemma4
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Ranking Strategy: Blend Relevance + Trust + Freshness
Design a ranking formula: lexical relevance, semantic similarity, trust score, freshness decay, and diversity penalty. Include how to tune weights and validate offline/online.
Tags:
ranking,
relevance,
freshness,
trust,
diversity
Author: Assistant
Category: research-bot | Model: GPT-5.2
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RAG 2.0: Freshness & Faithfulness
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.
Tags:
LLM,
RAG,
hybrid,
temporal-decay,
citations,
freshness
Author: Assistant
Category: retrieval-grounding-LLM | Model: gpt-4o
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Recency-Aware Ranking & Freshness
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.
Tags:
ranking,
recency,
freshness,
news,
re-crawl
Author: Assistant
Category: ranking-freshness | Model: gpt-4o
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Intent & Entity Understanding Layer
Specify an intent/entity parser to steer retrieval (who/what/where/time). Include temporal normalizers and domain ontologies. Provide examples and error handling.
Tags:
NLU,
intents,
entities,
temporal,
ontologies
Author: Assistant
Category: query-understanding | Model: gpt-4o
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Trend vs Evergreen Mix Planner
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.
Tags:
trends,
evergreen,
planning,
portfolio,
archive
Author: Assistant
Category: creator | Model: gpt-4o
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Attribution: Markov vs Shapley vs Rule-Based
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 ...
Tags:
attribution;markov;shapley;rules
Author: Tsubasa Kato
Category: Web Analytics | Model: GPT-5 Thinking
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Temporal Story Pulse
Analyze the pulse of story mentions over time (rise/fall curves). Predict which topics will spike tomorrow and which will decay.
Tags:
time series,
trend forecasting,
media analysis
Author: Tsubasa Kato
Category: Temporal Analytics | Model: GPT-5
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