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VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Asia/Kolkata
BEGIN:STANDARD
DTSTART:19451014T230000
TZOFFSETFROM:+0630
TZOFFSETTO:+0530
TZNAME:IST
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BEGIN:VEVENT
DTSTAMP:20191225T061146Z
UID:4C26AC3F-E7D2-4C73-BFF6-980CAD765DF0
DTSTART;TZID=Asia/Kolkata:20191011T110000
DTEND;TZID=Asia/Kolkata:20191011T130000
DESCRIPTION:The expert talk on Recommender system on AI by Dr. A.K. Verma w
 ill introduce the topic to every student present. This expert talk is main
 ly focusing on undergraduate\, postgraduate and also for Ph.D. students fo
 r enhancing their knowledge on the topic. A recommendation engine or a rec
 ommender system is a tool used by developers to foresee the users’ choic
 es in a huge list of suggested items. Generally\, algorithms developed for
  recommendation systems rely on purchases and page views done before. What
  is more\, today there are many services suggesting in-the-moment recommen
 dations\, as they utilize artificial intelligence for analyzing interactio
 ns of the users and find visually proper products that will interest any i
 ndividual customer. Due to AI\, recommendation engines make quick and to-t
 he-point recommendations tailored to each customer’s needs and preferenc
 es. With the usage of artificial intelligence\, online searching is improv
 ing as well\, since it makes recommendations related to the user’s visua
 l preferences rather than product descriptions.\n\nCo-sponsored by: Chandi
 garh University\n\nSpeaker(s): Anil\, \n\nSeminar Hall\, Block 1\, Chandig
 arh university\, Mohali\, Punjab\, India
LOCATION:Seminar Hall\, Block 1\, Chandigarh university\, Mohali\, Punjab\,
  India
ORGANIZER:harneetsgh98@gmail.com
SEQUENCE:2
SUMMARY:Expert talk on Recommender system in AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/206800
X-ALT-DESC:Description: <br /><p>The expert talk on Recommender system on A
 I by Dr. A.K. Verma will introduce the topic to every student present. Thi
 s expert talk is mainly focusing on undergraduate\, postgraduate and also 
 for Ph.D. students for enhancing their knowledge on the topic. A recommend
 ation engine or a recommender system is a tool used by developers to fores
 ee the users&rsquo\; choices in a huge list of suggested items. Generally\
 , algorithms developed for recommendation systems rely on purchases and pa
 ge views done before. What is more\, today there are many services suggest
 ing in-the-moment recommendations\, as they utilize artificial intelligenc
 e for analyzing interactions of the users and find visually proper product
 s that will interest any individual customer. Due to AI\, recommendation e
 ngines make quick and to-the-point recommendations tailored to each custom
 er&rsquo\;s needs and preferences. With the usage of artificial intelligen
 ce\, online searching is improving as well\, since it makes recommendation
 s related to the user&rsquo\;s visual preferences rather than product desc
 riptions.</p>
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