<div dir="ltr"><b style="font-size:12.8px"><font size="4">WSDM Workshop on Learning from User Interactions</font></b><div style="font-size:12.8px"><br style="font-size:12.8px"><div style="font-size:12.8px">We invite contributions to WSDM Workshop on <a href="https://task-ir.github.io/wsdm2018-learnIR-workshop/" target="_blank">Learning from User Interactions</a> at <a href="http://www.wsdm-conference.org/2018/" target="_blank">WSDM 2018</a> to be held in Los Angeles, 6 - 8 Feb 2018.</div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><b><span class="gmail-m_7654433368739760932gmail-m_2275559308786698508gmail-m_8703656848338792513gmail-m_9068346228674409149gmail-il" style="font-size:12.8px">TL</span><span style="font-size:12.8px">;</span><span class="gmail-m_7654433368739760932gmail-m_2275559308786698508gmail-m_8703656848338792513gmail-m_9068346228674409149gmail-il" style="font-size:12.8px">DR</span></b><span style="font-size:12.8px"><b>:</b> 4-6 pages, in WSDM format, <b style="background-color:rgb(255,255,0)">submit by December 8th (23:59 AOE time)</b>.</span><br></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">Workshop Website: <a href="https://task-ir.github.io/wsdm2018-learnIR-workshop/" target="_blank">https://task-ir.githu<wbr>b.io/wsdm2018-learnIR-workshop<wbr>/</a></div><div style="font-size:12.8px">Submission Link: <a href="https://easychair.org/conferences/?conf=learnir2018" target="_blank" style="color:rgb(51,122,183);background-color:transparent;font-family:arial,helvetica,sans-serif;box-sizing:border-box;text-decoration-line:none">Easychair</a></div><div style="font-size:12.8px">Twitter: <a href="https://twitter.com/learnIRWSDM" target="_blank">https://twitter.com/l<wbr>earnIRWSDM</a></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">We intend to have a sponsored <font color="#ff0000" style="background-color:rgb(255,255,0)">Best Paper award</font> alongside potential registration support for students.</div><div style="font-size:12.8px"><h2 id="gmail-m_7654433368739760932gmail-m_2275559308786698508gmail-m_8703656848338792513gmail-m_9068346228674409149gmail-dates" style="box-sizing:border-box;line-height:1.1;color:rgb(51,51,51);margin-top:20px;margin-bottom:10px"><b style="font-size:small;color:rgb(34,34,34)"><font size="4">Overview</font></b><br></h2></div><div style="font-size:12.8px"><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"><font face="arial, helvetica, sans-serif">While users interact with online services (e.g. search engines, recommender systems, conversational agents), they leave behind fine grained traces of interaction patterns. The ability to understand user behavior, record and interpret user interaction signals, gauge user satisfaction and incorporate user feedback gives online systems a vast treasure trove of insights for improvement and experimentation. More generally, the ability to learn from user interactions promises pathways for solving a number of problems and improving user engagement and satisfaction.</font></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"><font face="arial, helvetica, sans-serif">Understanding and learning from user interactions involves a number of different aspects - from understanding user intent and tasks, to developing user models and personalization services. A user's understanding of their need and the overall task develop as they interact with the system. Supporting the various stages of the task involves many aspects of the system, e.g. interface features, presentation of information, retrieving and ranking. Often, online systems are not specifically designed to support users in successfully accomplishing the tasks which motivated them to interact with the system in the first place. Beyond understanding user needs, learning from user interactions involves developing the right metrics and expiermentation systems, understanding user interaction processes, their usage context and designing interfaces capable of helping users.</font></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"><font face="arial, helvetica, sans-serif">Learning from user interactions becomes more important as new and novel ways of user interactions surface. There is a gradual shift towards searching and presenting the information in a conversational form. Chatbots, personal assistants in our phones and eyes-free devices are being used increasingly more for different purposes, including information retrieval and exploration. With improved speech recognition and information retrieval systems, more and more users are increasingly relying on such digital assistants to fulfill their information needs and complete their tasks. Such systems rely heavily on quickly learnig from past interactions and incorporating implicit feedback signals into their models for rapid development.</font></p><font face="arial, helvetica, sans-serif"><br style="box-sizing:border-box;color:rgb(51,51,51)"></font><h2 id="gmail-m_7654433368739760932gmail-m_2275559308786698508gmail-m_8703656848338792513gmail-m_9068346228674409149gmail-topics" style="box-sizing:border-box;line-height:1.1;color:rgb(51,51,51);margin-top:20px;margin-bottom:10px"><font face="arial, helvetica, sans-serif" size="4">Topics</font></h2><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"><font face="arial, helvetica, sans-serif">Learning from User Interactions will be a highly interactive full day workshop that will provide a forum for academic and industrial researchers working at the intersection of user understanding, search tasks, conversational IR and user interactions. The purpose is to provide an opportunity for people to present new work and early results, brainstorm different use cases, share best practices, and discuss the main challenges facing this line of research.</font></p><font face="arial, helvetica, sans-serif"><br style="box-sizing:border-box;color:rgb(51,51,51)"></font><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"></p><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:10px;color:rgb(51,51,51)"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">User Needs & Tasks Understanding</span>:</font><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">User intent analysis/prediction</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">User goals & missions</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Task identification</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Task aware suggestions & recommendations</font></li></ul></li><font face="arial, helvetica, sans-serif"><br style="box-sizing:border-box"></font><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">User Modeling & Personalization</span>:</font><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Short and Long-term User Modelling</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Personalization</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Diversification</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Coherence</font></li></ul></li><font face="arial, helvetica, sans-serif"><br style="box-sizing:border-box"></font><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">Metrics and Evaluation </span>:</font><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Metrics based on user interactions</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">User engagement metrics design</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Evaluation mechanisms</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">User satisfaction prediction</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Controlled laboratory study</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Online metrics</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Test collection</font></li></ul></li><font face="arial, helvetica, sans-serif"><br style="box-sizing:border-box"></font><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">User Interaction Processes & Context </span>:</font><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">User Journey Optimization</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Evolution of search process</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Stages of user interactions</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">User journey through the system</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Leveraging contextual signals</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Learning for user interaction optimization: algorithms, frameworks & system designs</font></li></ul></li><font face="arial, helvetica, sans-serif"><br style="box-sizing:border-box"></font><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">Intelligent interface designs</span>:</font><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Adaptive personal digital assistants</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Tailored decision support</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Adaptive collaboration support</font></li></ul></li><font face="arial, helvetica, sans-serif"><br style="box-sizing:border-box"></font><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">Applications</span>:</font><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:0px"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Conversational search, chatbots, digital assistants</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Contextual Advertising</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">E-commerce recommendations</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Customer Support</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Intelligent interfaces</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Personal search</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">Case studies of real world implementations</font></li></ul></li></ul><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"></p><h2 id="gmail-m_7654433368739760932gmail-m_2275559308786698508gmail-m_8703656848338792513gmail-m_9068346228674409149gmail-speakers-affliations" style="box-sizing:border-box;line-height:1.1;color:rgb(51,51,51);margin-top:20px;margin-bottom:10px"><font size="4">Submission</font><br></h2><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"><font face="arial, helvetica, sans-serif">All workshop submissions must be formatted according to <a href="http://www.acm.org/publications/proceedings-template" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">ACM SIG Proceedings </a>template. We welcome submissions in either long or short format spanning 4-6 pages.</font></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"><font face="arial, helvetica, sans-serif">Authors should submit original papers in PDF format through the <a href="https://easychair.org/conferences/?conf=learnir2018" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">Easychair system</a>. <br style="box-sizing:border-box"><br style="box-sizing:border-box">This is a workshop where discussion is central, and all attendees are active participants. The workshop will include keynote talks to set the stage and ensure all attendees are on the same page. A small number of contributed papers will be selected for short oral presentation (15-10 minutes), all other papers have a 2 minute boaster, and all papers are presented as poster in an interactive poster session.</font></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"><font face="arial, helvetica, sans-serif">The results will be disseminated in various ways:</font></p><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:10px;color:rgb(51,51,51)"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">A high quality, peer reviewed workshop proceedings, published in the <a href="http://ceur-ws.org/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">http://ceur-ws.org/</a> worksh<wbr>op proceedings series.</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">A report on the results of the workshop in the ACM SIGIR Forum of June 2018.</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif">If the outcome lives up to our high expectations, we will consider a special issue in an appropriate journal.</font></li></ul><div><font color="#333333" face="arial, helvetica, sans-serif"><br></font></div><div><h2 id="gmail-m_7654433368739760932gmail-m_2275559308786698508gmail-m_8703656848338792513gmail-m_9068346228674409149gmail-dates" style="box-sizing:border-box;line-height:1.1;color:rgb(51,51,51);margin-top:20px;margin-bottom:10px"><font face="arial, helvetica, sans-serif" size="4">Important Dates</font></h2><ul style="box-sizing:border-box;margin-top:0px;margin-bottom:10px;color:rgb(51,51,51)"><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">Submission Deadline: </span><span style="box-sizing:border-box">8th December</span> 2017 (23:59 AOE)</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">Notification: </span>15th December 2017</font></li><li style="margin-left:15px;box-sizing:border-box"><font face="arial, helvetica, sans-serif"><span style="box-sizing:border-box;font-weight:700">Workshop: </span>9th February 2018</font></li></ul><div><font color="#333333" face="arial, helvetica, sans-serif"><br></font></div></div><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"></p><h2 id="gmail-m_7654433368739760932gmail-m_2275559308786698508gmail-m_8703656848338792513gmail-m_9068346228674409149gmail-organizers" style="box-sizing:border-box;line-height:1.1;color:rgb(51,51,51);margin-top:20px;margin-bottom:10px"><font face="arial, helvetica, sans-serif" size="4">Organizers</font></h2><ol style="box-sizing:border-box;margin-top:0px;margin-bottom:10px;color:rgb(51,51,51)"><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px"><font face="arial, helvetica, sans-serif"><a href="http://www.rishabhmehrotra.com/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">Rishabh Mehrotra</a> (Spotify Research; University College London)</font></p></li><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px"><font face="arial, helvetica, sans-serif"><a href="https://sites.google.com/site/emineyilmaz/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">Emine Yilmaz</a> (University College London; The Alan Turing Institute)</font></p></li><li style="margin-left:15px;box-sizing:border-box"><p style="box-sizing:border-box;margin:0px 0px 10px"><font face="arial, helvetica, sans-serif"><a href="http://research.microsoft.com/en-us/um/people/hassanam/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">Ahmed Hassan Awadallah</a> (Microsoft Research)</font></p></li></ol><font face="arial, helvetica, sans-serif"><span style="color:rgb(51,51,51)">You can contact us at </span><a href="mailto:learnirwrkshp@gmail.com" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;text-decoration-line:none">learnIRwrkshp@gmail.com</a> or at <a href="mailto:erishabh@gmail.com" target="_blank">erishabh@gmail.com</a><span style="color:rgb(51,51,51)">. </span><br style="box-sizing:border-box;color:rgb(51,51,51)"><br style="box-sizing:border-box;color:rgb(51,51,51)"></font><h4 style="box-sizing:border-box;font-weight:500;line-height:1.1;color:rgb(51,51,51);margin-top:10px;margin-bottom:10px"><span style="box-sizing:border-box;font-weight:700"><font face="arial, helvetica, sans-serif">Steering Committee:</font></span></h4><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(51,51,51)"><font face="arial, helvetica, sans-serif">- <a href="https://www.microsoft.com/en-us/research/people/milads/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">Milad Shokouhi</a> (Microsoft)<br style="box-sizing:border-box">- <a href="http://fernando.diaz.nyc/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">Fernando Diaz</a> (Spotify)<br style="box-sizing:border-box">- <a href="http://radlinski.org/" target="_blank" style="color:rgb(51,122,183);box-sizing:border-box;background-color:transparent;text-decoration-line:none">Filip Radlinski</a> (Google Research)<br></font>- <a href="https://staff.fnwi.uva.nl/e.kanoulas/" target="_blank" style="color:rgb(35,82,124);font-family:arial,helvetica,sans-serif;box-sizing:border-box;outline:-webkit-focus-ring-color auto 5px">Evangelos Kanoulas</a><span style="font-family:arial,helvetica,sans-serif"> (University of Amsterdam)</span></p></div></div><div class="gmail-yj6qo gmail-ajU" style="margin:2px 0px 0px;font-size:12.8px"><div id="gmail-:3ap" class="gmail-ajR" tabindex="0"><img class="gmail-ajT" src="https://ssl.gstatic.com/ui/v1/icons/mail/images/cleardot.gif"></div></div><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Rishabh.<br><div>Web: <a href="http://www.rishabhmehrotra.com" target="_blank">www.rishabhmehrotra.com</a></div><div>Github: <a href="https://github.com/rishabhmehrotra/" target="_blank">https://github.com/rishabhmehrotra/</a></div><div><br></div></div></div>
</div>