<div dir="ltr"><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div><font face="arial, helvetica, sans-serif" color="#000000"><a href="https://www.springer.com/computer/database+management+&+information+retrieval/journal/10791/PSE?detailsPage=press">Information Retrieval Journal </a></font></div><div><b><font face="arial, helvetica, sans-serif" color="#000000"><br></font></b></div><font face="arial, helvetica, sans-serif" color="#000000">Special Issue on<b> <a href="https://static.springer.com/sgw/documents/1643616/application/pdf/CfP_SI_Learning+from+User+Interactions.pdf">Learning from User Interactions</a></b> - Call For Papers<b>: </b><a href="https://goo.gl/2nX12V">https://goo.gl/2nX12V</a></font><div><b><font face="arial, helvetica, sans-serif" color="#000000"><br></font></b></div><div><b><font face="arial, helvetica, sans-serif" color="#000000">Important Dates:</font></b></div><div><ul><li style="margin-left:15px"><font face="arial, helvetica, sans-serif" color="#000000">Initial submission due: January 15, 2019</font></li><li style="margin-left:15px"><font face="arial, helvetica, sans-serif" color="#000000">Initial reviewer feedback: March 15, 2019</font></li><li style="margin-left:15px"><font face="arial, helvetica, sans-serif" color="#000000">Revised submission due: May 15, 2019</font></li><li style="margin-left:15px"><font face="arial, helvetica, sans-serif" color="#000000">Final reviews and notification: June 15, 2019<br></font></li></ul><div><font face="arial, helvetica, sans-serif" color="#000000"><br></font></div><div><font face="arial, helvetica, sans-serif" color="#000000">When users interact with online services (e.g. search engines, recommender systems, conversational agents), they leave behind traces of interaction patterns. The ability to record and interpret user interaction signals and understand user behavior 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, incorporating user feedback and gauging user satisfaction. </font>The goal of the special issue is to research systems which better support user needs and tasks, understand user interaction processes, intelligent and adaptive interfaces, among others. <font face="arial, helvetica, sans-serif" color="#000000"><br></font></div></div><div><br></div><div><font face="arial, helvetica, sans-serif" color="#000000"><b>Topics of Interest</b></font></div><div>Specific topics of potential interest include:<font face="arial, helvetica, sans-serif" color="#000000"><br></font></div><div><br></div><div><span id="gmail-docs-internal-guid-d8352e80-7fff-d87d-283e-3f1adfcec576"><font face="arial, helvetica, sans-serif" color="#000000"><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">User Interaction Processes & Context :</span></p></li></ul><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-indent:36pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– User Journey Optimization </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-indent:36pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Evolution of search process </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-indent:36pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Stages of user interactions </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-indent:36pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– User journey through the system </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-indent:36pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Leveraging contextual signals </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-indent:36pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Learning for user interaction optimization: algorithms, frameworks & system designs</span></p><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Intelligent interface designs:</span></p></li></ul><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify;padding:0pt 0pt 0pt 72pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Adaptive personal digital assistants</span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><span class="gmail-Apple-tab-span" style="white-space:pre">      </span></span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><br class="gmail-kix-line-break"></span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Tailored decision support</span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><span class="gmail-Apple-tab-span" style="white-space:pre">        </span></span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><br class="gmail-kix-line-break"></span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Adaptive collaboration support</span></p><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">User Needs & Tasks Understanding:</span></p></li></ul><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify;padding:0pt 0pt 0pt 72pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– User intent analysis/prediction</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Task identification</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Task aware suggestions & recommendations</span></p><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">User Modeling & Personalization:</span></p></li></ul><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Short and Long-term User Modelling </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Personalization & Diversification </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Coherence</span></p><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Metrics and Evaluation : </span></p></li></ul><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Metrics based on user interactions </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– User engagement metrics design </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Evaluation mechanisms; user satisfaction prediction</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Controlled laboratory study </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Online metrics Test collection </span></p><ul style="margin-top:0pt;margin-bottom:0pt"><li dir="ltr" style="list-style-type:disc;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Applications: </span></p></li></ul><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Conversational search, personal search, chatbots, digital assistants </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Contextual Advertising </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– E-commerce recommendations </span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Intelligent interfaces</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;margin-left:36pt;text-align:justify;padding:0pt 0pt 0pt 36pt"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">– Case studies of real world implementations</span></p><div><font face="arial, helvetica, sans-serif" color="#000000"><br></font></div><br><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Special Issue Guest Editors</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><br></span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><a href="http://rishabhmehrotra.com/">Rishabh Mehrotra</a></span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">, Spotify Research, London, UK</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><a href="https://www.microsoft.com/en-us/research/people/hassanam/">Ahmed Hassan Awadallah</a></span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">, Microsoft Research, USA</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"><a href="https://sites.google.com/site/emineyilmaz/">Emine Yilmaz</a></span><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">, University College London & the Alan Turing Institute, UK</span></p><br></font></span></div><div><font face="arial, helvetica, sans-serif" color="#000000"><br></font></div><div><font face="arial, helvetica, sans-serif" color="#000000"><span id="gmail-docs-internal-guid-a02fda89-7fff-2359-f812-d44fa9ca7ca4"><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Paper Submission</span></p><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">Papers submitted to this special issue for possible publication must be original and must not be under consideration for publication in any other journal or conference. Previously published or accepted conference papers must contain at least 30% new material to be considered for the special issue.</span></p><br><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">All papers are to be submitted by referring to </span><a href="http://www.springer.com/10791" style="text-decoration-line:none"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;text-decoration-line:underline;vertical-align:baseline;white-space:pre-wrap">http://www.springer.com/10791</span></a><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap"> (submit online). At the beginning of the submission process in Editorial Manager, under “Article Type”, please select the appropriate special issue. All manuscripts must be prepared according to the journal publication guidelines which can also be found on the website provided above. Papers will be evaluated following the journal’s standard review process.</span></p><br><p dir="ltr" style="line-height:1.2;margin-top:0pt;margin-bottom:0pt;text-align:justify"><span style="background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;vertical-align:baseline;white-space:pre-wrap">For inquiries on the above please contact Rishabh Mehrotra (<a href="mailto:rishabhm@spotify.com">rishabhm@spotify.com</a>)</span></p></span><br class="gmail-Apple-interchange-newline"></font></div><font face="arial, helvetica, sans-serif" color="#000000">-- <br></font><div dir="ltr" class="gmail_signature"><div dir="ltr"><font face="arial, helvetica, sans-serif" color="#000000">Rishabh.<br></font><div><font face="arial, helvetica, sans-serif" color="#000000">Web: <a href="http://www.rishabhmehrotra.com/" target="_blank">www.rishabhmehrotra.com</a></font></div><div><font color="#000000" face="arial, helvetica, sans-serif">Twitter: <a href="https://twitter.com/erishabh">https://twitter.com/erishabh</a></font></div></div></div><br class="gmail-Apple-interchange-newline"></div></div></div></div>