'personalized recommend' 검색 결과

Recommend runtime and V2 scene management: run recommendation requests, manage recommend scenes and rules, and verify the deployed recommendation path.

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Building AI-powered personalization systems: recommendation engines, collaborative filtering, content-based filtering, user preference learning, cold-start solutions, and LLM-enhanced personalized experiences. Use when "recommendation system, personalization, collaborative filtering, content-based filtering, user preferences, recommend, suggestions, for you, similar items, you might like, " mentioned.

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사용자나 상황에 맞는 상위 후보를 고르는 추천 및 순위 처리 흐름을 설계합니다. 후보 수집부터 점수 계산, 선택, 기록까지 여섯 단계로 나누고 실행 가능한 코드 틀을 만듭니다.

• 개인화 콘텐츠 전달 설계
• 검색 또는 RAG 결과 재정렬
• 작업 우선순위 결정

Review recent Claude Code chats to identify development strengths, recurring difficulties, and learning priorities. Receive a personalized report with practical recommendations and relevant HackerNews articles, delivered to your own Slack direct messages.

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• Reviewing development habits from recent chats
• Prioritizing recurring technical difficulties
• Finding learning articles relevant to current work

Analyze networks of people, web pages, or systems using PageRank, a method that scores importance from connections. Identify influential nodes and communities, generate personalized recommendations, and examine communication bottlenecks to guide network improvements.

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• Finding influential users and communities on social networks
• Analyzing links and page importance on a website
• Generating recommendations based on user preferences

Design recommendation and ranking systems that select the best items for a user or situation. Organize retrieval, enrichment, filtering, scoring, selection, and background actions into six stages, then generate a runnable scaffold for your chosen stack.

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• Designing a personalized content feed
• Reranking retrieved passages for RAG
• Prioritizing suggested tasks

NetEase Cloud Music skill for searching songs, managing playlists, getting personalized recommendations, and controlling playback via ncm-cli. Use when user wants to search music, play songs, manage playlists, or get music recommendations.

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Persistent task management and productivity intelligence via MCP. Captures tasks from conversation, plans your day, tracks patterns, and gives personalized recommendations that improve over time.

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Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.

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AI sales coach composite. Analyzes all available sales data — email campaigns, call recordings/transcripts, reply patterns, pipeline outcomes — to identify what the user does well, where they struggle, and how to improve. Finds patterns in top-performing emails, winning call techniques, successful objection handles, and deal progression. Produces personalized coaching recommendations based on their specific product, market, and selling style. Tool-agnostic.

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For churned accounts, research what has changed since they left — new funding, team growth, competitor dissatisfaction, product updates that address their pain — then assess re-engagement potential and generate a personalized win-back email sequence with timing recommendations. Chains web research and LinkedIn monitoring with email sequence generation.

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Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.

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Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.

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Generate personalized cold email sequences (7-14 emails) with A/B test subject lines, follow-up timing recommendations, and integrated social proof. Creates multi-touch campaigns optimized for response rates. Use when users need outbound email campaigns, sales sequences, or lead generation emails.

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Email triage system that handles both one-time setup and recurring triage in a single skill. Auto-detects state: if no knowledge base exists at ${WORKSPACE}/Email/, runs an 8-section onboarding interview (grill-me discipline, one question at a time) to build a 7-file personalized KB, then offers to run triage immediately. If the KB already exists, skips setup and goes straight to triage — searches recent emails, classifies them via the user's taxonomy, researches new senders, generates TAKE IT/WORTH/PASS/FLAG recommendations, drafts replies (NEVER sends), delivers a report, and updates the KB. Use with 'update' argument to refresh preferences. Setup triggers: 'set up my inbox', 'configure inbox triage', 'set up my email system', 'configure email triage', 'build my email knowledge base', 'initialize email management'. Triage triggers: 'triage my inbox', 'inbox triage', 'check my email', 'run email triage', 'process my inbox', 'what's new in my email', 'handle my email', 'email triage'.

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Welcome and set up a new Claude for Financial Advisors user. Gets to know the advisor's RIA, learns their day-to-day pain points and tech stack, walks them through connecting their tools, explains the plugin and how skills work, runs a live pre-meeting demo, shows them how to customize skills, and closes with a personalized recommendation for which skill to try next. Use when the advisor is getting started or says any of: "onboarding," "/onboarding," "get started," "help me get started," "set up claude for financial advisors," "claude for financial advisors setup," "what can this plugin do," "I'm new to this," "show me around," or is in their first session with the plugin.

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Adaptive testing engine with IRT/CAT, AI question generation, and personalized learning recommendations

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