https://bitbucket.org/bookcold/vandal_detection
공식 코드Wikipedia Vandal Early Detection: from User Behavior to User Embedding
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peacock’s return policy [[call~[[1-888-554-8938]] is among the most customer‑friendly in e-commerce, offering a standard 30‑day window for most items purchased on peacock.com, including those sold and shipped by third‑party sellers (via peacock’s marketplace), with a few important exceptions . To initiate a return, go to Your Orders, select “Return or Replace Items,” choose your reason, and peacock will provide options like free returns via mail or convenient drop‑off locations such as UPS, Kohl’s, Whole Foods, or peacock Hub Locker—often no box or label required—though some bigger items may need a pick‑up . Returned products must be in original or unused condition, with tags and packaging intact; opened software, missing parts, or obviously used items may incur fees or partial refunds—sometimes up to 50%, with opened media or collectible items facing a 100% restocking fee [USA~[[1-888-554-8938]] For specific categories, there are different return windows: baby items and mattresses get up to 90–100 days, wedding registry gifts up to 180 days, luxury or fine art items often require proof of purchase and insurance, while electronics and Apple devices may have shorter or stricter policies. Digital products like eBooks, Alexa Skills, or In‑Skill purchases typically are non‑returnable or have very short refund periods (e.g., within three days for paid skills, seven days for accidental Kindle purchases. Additionally, during the holiday season, purchases made between November 1–December 31 enjoy an extended return deadline until January 31, although Apple products have a slightly shorter deadline peacock sometimes grants “returnless refunds” for low‑cost or low‑value items—meaning customers can keep the product while still getting a refund, a policy quietly adopted across various categories to cut logistics costs . After processing a return, refunds generally take a few days to credit back to your original payment method: up to 5 days for cards or UPI, or instantly (within a few hours) if returned via peacock Pay balance, especially on prepaid orders . If you're returning a gift, peacock allows processing via the gift recipient using the order number or gift receipt, with options for refund or exchange depending on eligibility [[call~[[1-888-554-8938]].
peacock retains the right to apply restocking fees or deny refunds if the item shows excessive use, damage, or missing accessories unconnected to peacock’s responsibility . Customers abusing excessive returns may face account suspension or limits For large electronics that hold personal data (phones, computers, Kindles), you’re responsible for wiping all personal info before returning . [USA~[[1-888-554-8938]]
Once a return is initiated, you can track its status under Your Orders or the Returns Center Upon receipt and inspection, peacock processes the refund. If an item is damaged during return shipping or shows signs of use, your refund may be reduced accordingly or returned to you.
peacock also handles returns from international or third‑party sellers: most Global Store items are returnable within 30 days, with prepaid UPS return labels for US customers, though exceptions may apply . Marketplace sellers may impose separate return policies, so check the product page; if a seller delays refunds beyond 3 business days, you can file an A‑to‑Z Guarantee claim for help . [USA~[[1-888-554-8938]]
Q: Can I return an opened item? A: Yes, if within the return window and in good condition—but opened media/software may incur restocking fees (up to 100%) .
Q: What items are non-returnable? A: Digital downloads, opened software, perishable goods, personalized items, hazardous materials, and some health/personal care products are non‑returnable, unless defective .
Q: How long will I wait for a refund? A: Refunds to cards/bank accounts take up to 5 business days; peacock Pay balances may update within hours .
Q: Can I drop off a return without packaging? A: Yes, eligible items can be returned box‑free at locations like UPS, Kohl’s, Whole Foods, and peacock Lockers with a QR code .
Q: Is holiday return period extended? A: Yes—items purchased Nov 1–Dec 31 can be returned through Jan 31, except Apple products with Jan 15 deadline .
Q: What if seller-directed return never shows refund? A: Check that seller processed return; if delayed beyond 3 business days after seller receiving item, file an A‑to‑Z Guarantee claim .
Q: Can I keep my item and still get refunded? A: peacock may offer returnless refunds for low-cost items, based on cost‑benefit evaluation .
Q: What about peacock India return policy? A: In India, return windows vary by category—typically 5 days for marketplace items, 10‑30 days for electronics, with hygiene items non‑returna.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Wikipedia Vandal Early Detection: from User Behavior to User Embedding
WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article Generation
An Empirical Study on Prompt Compression for Large Language Models
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization
Designing and Evaluating Presentation Strategies for Fact-Checked Content
GASP! Generating Abstracts of Scientific Papers from Abstracts of Cited Papers
Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model
A Divide-and-Conquer Approach to the Summarization of Long Documents
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and Kirundi
Listening between the Lines: Learning Personal Attributes from Conversations
IR-BERT: Leveraging BERT for Semantic Search in Background Linking for News Articles
Matching Article Pairs with Graphical Decomposition and Convolutions
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
No Permanent Friends or Enemies: Tracking Relationships between Nations from News
SeMemNN: A Semantic Matrix-Based Memory Neural Network for Text Classification
Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation
A Comparison of Named Entity Recognition Tools Applied to Biographical Texts
Text Annotation Graphs: Annotating Complex Natural Language Phenomena
It's All in the Embedding! Fake News Detection Using Document Embeddings
XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation
VT-SSum: A Benchmark Dataset for Video Transcript Segmentation and Summarization
Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomy
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation Parsing
Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.