BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//pyconapac2023//talk//MFJUGJ
BEGIN:VTIMEZONE
TZID:JST
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:JST
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-pyconapac2023-MFJUGJ@pretalx.com
DTSTART;TZID=JST:20231027T173000
DTEND;TZID=JST:20231027T173500
DESCRIPTION:Discover an innovative Python framework for automating offline 
 search engine ranking evaluation using LLM. By enabling search engineers a
 nd data scientists to perform offline evaluations rapidly\, our method min
 imizes human bias\, accelerates evaluation\, and optimizes ranking algorit
 hms swiftly\, leading to improved search performance and more relevant use
 r results.
DTSTAMP:20260310T073035Z
LOCATION:track 1
SUMMARY:Auto-evaluation of ranking model by LLM - Petrie Wong
URL:https://pretalx.com/pyconapac2023/talk/MFJUGJ/
END:VEVENT
END:VCALENDAR