[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-194543-105":53,"doc-detail-194543-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","recsys2025-workshops-paper_210","recSys2025-Workshops - paper_210","","This document presents findings and methodologies related to recommendation systems, likely within the context of a workshop for the RecSys 2025 conference. It includes tables detailing the impact of different email titles on user engagement metrics such as open rates and item tap rates, highlighting the importance of title optimization. The document also analyzes potentially sensitive keywords in email titles, providing their English translations and justifications for why they are considered inappropriate. Examples include phrases that could be perceived as rude, condescending, or discriminatory, emphasizing the need for careful audience segmentation and tone control in marketing communications. The image analysis reveals a workflow for email generation involving recommendation models, sensitive word filtering, and different email generation functions, suggesting a system designed to personalize and optimize email content while adhering to content sensitivity guidelines. Further details might be found within the full paper, but the provided snippets focus on the crucial aspects of email content generation and its impact on user interaction and brand perception.",{"@graph":63,"@context":123},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/recsys2025-workshops-paper_210/194543/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/recsys2025-workshops-paper_210/194543.png","ImageObject",442,249,{"name":88,"@type":89},"Eliana","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-30","2026-09-03",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",6,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115,119],{"name":106,"@type":107,"acceptedAnswer":108},"What is the primary focus of this document?","Question",{"text":109,"@type":110},"This document focuses on recommendation systems, particularly in the context of crafting effective and sensitive email marketing content, as evidenced by its presentation at RecSys 2025 workshops.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"What metrics are analyzed to measure the impact of email titles?",{"text":114,"@type":110},"The document analyzes metrics such as Email Send Rate, Email Open Rate, Email Item Tap Rate, and Buyer Conversion Rate (both via email and overall) to assess the effectiveness of different email titles.",{"name":116,"@type":107,"acceptedAnswer":117},"What are some examples of sensitive words or phrases identified in email titles and why are they problematic?",{"text":118,"@type":110},"Examples include phrases like \"30kg\" (potential deterrence due to item weight), \"あほ\" (Idiot - rude), \"おまえ\" (You - rude/condescending), and \"バカ\" (Stupid - rude/disrespectful), which are flagged for their potential to offend or alienate users.",{"name":120,"@type":107,"acceptedAnswer":121},"How does the document suggest addressing sensitive content in email titles?",{"text":122,"@type":110},"The document suggests careful audience segmentation, tone control, and avoiding rude, disrespectful, or overly informal language to ensure email content is appropriate and effective.","https://schema.org",{"og:url":78,"og:type":125,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":127,"canonical":78},"index,follow",{"doc_id":129,"site_id":56},194543,1788440167,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":88,"user_avatar":134,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":101,"language":140,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":61,"update_tm":130,"read_time":73},4398048949847,"https://ap-avatar.wpscdn.com/avatar/400002536579ef2da7f?_k=1778318612642679267","| Titles of recommended items inside email | Generated Title |\n| --- | --- |\n| \"Apple iPhone Case\", \"Wireless Mouse\", \"Bluetooth Speaker\" | Elevate Your Mobile & Connect: iPhone Case, Wireless Mouse & Bluetooth Speaker Bundle |\n| \"Insulated Water Bottle\", \"Ergonomic Office Chair\", \"Noise-Cancelling Headphones\", \"LED Desk Lamp\" | Boost Your Productivity: Insulated Water Bottle, Ergonomic Chair & More Essential Accessories |\n| \"Gaming Keyboard\", \"Portable Charger\", \"Smart Watch\", \"Fitness Tracker\", \"Window Curtains\", \"Cookware Set\", \"Comfortable Pillow\",\"Bluetooth Earbuds\", \"Laptop Stand\", \"Dry-Erase Board\" | Revamp Your Routine: Gaming Keyboard, Smart Watch, Laptop Stand & More Essentials |\n\n| Metric | Relative Lift | z-value |\n| --- | --- | --- |\n| Email Send Rate | -0.90% | -12.11 |\n| Email Open Rate | +0.46% | 1.76 |\n| Email Item Tap Rate | +23.63% | 8.11 |\n| Buyer Conversion Rate (via email) | 45.12% | 1.29 |\n| Buyer Conversion Rate (overall) | -0.42% | -0.09 |\n\n\n| Email title | Email title-English | NG word | NG word-English | Why considered sensitive? |\n| --- | --- | --- | --- | --- |\n| 新米コシヒカリ30kgを早い者ちで! | First come, first served: 30kg of new Koshihikari rice! | 30kg | 30kg | Very heavy item without context. May deter older users. Needs audience segmentation. |\n| あほの坂田グッズをチェックしよう | Check out Aho no Sakata goods | あほ | Idiot | Considered rude and disrespectful; could offend users. |\n| おまえをオタクにしてやるから全セットを集めました | We have collected the complete set of “I’ll Make You an Otaku” | おまえ | You (rude) | Informal and condescending; can sound aggressive. |\n| 介用シルバカを集めました | We’ve collected our silver carts for caregivers | バカ | Stupid (slang) | Rude and mocking tone; disrespectful. |","cbCaimFEZJh5mj6G","https://ap.wps.com/l/cbCaimFEZJh5mj6G","pdf",895548,"English","# Email Title Impact Analysis\n## Sensitive Word Filtering in Marketing Emails\n## Recommendation System Workflow for Email Generation","[{\"question\":\"What is the primary focus of this document?\",\"answer\":\"This document focuses on recommendation systems, particularly in the context of crafting effective and sensitive email marketing content, as evidenced by its presentation at RecSys 2025 workshops.\"},{\"question\":\"What metrics are analyzed to measure the impact of email titles?\",\"answer\":\"The document analyzes metrics such as Email Send Rate, Email Open Rate, Email Item Tap Rate, and Buyer Conversion Rate (both via email and overall) to assess the effectiveness of different email titles.\"},{\"question\":\"What are some examples of sensitive words or phrases identified in email titles and why are they problematic?\",\"answer\":\"Examples include phrases like \\\"30kg\\\" (potential deterrence due to item weight), \\\"あほ\\\" (Idiot - rude), \\\"おまえ\\\" (You - rude/condescending), and \\\"バカ\\\" (Stupid - rude/disrespectful), which are flagged for their potential to offend or alienate users.\"},{\"question\":\"How does the document suggest addressing sensitive content in email titles?\",\"answer\":\"The document suggests careful audience segmentation, tone control, and avoiding rude, disrespectful, or overly informal language to ensure email content is appropriate and effective.\"}]","recSys2025-Workshops - paper_210 | PDF"]