Connectionists: CFP: Special Issue on Learning from User Interactions - Information Retrieval Journal

[Rishabh Mehrotra]

Information Retrieval Journal
<https://www.springer.com/computer/database+management+&+information+retrieval/journal/10791/PSE?detailsPage=press>

Special Issue on* Learning from User Interactions
<https://static.springer.com/sgw/documents/1643616/application/pdf/CfP_SI_Learning+from+User+Interactions.pdf>*
- Call
For Papers*: *https://goo.gl/2nX12V

*Important Dates:*

   - Initial submission due: January 15, 2019
   - Initial reviewer feedback: March 15, 2019
   - Revised submission due: May 15, 2019
   - Final reviews and notification: June 15, 2019


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. 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.

*Topics of Interest*
Specific topics of potential interest include:


   -

   User Interaction Processes & Context :

– User Journey Optimization

– Evolution of search process

– Stages of user interactions

– User journey through the system

– Leveraging contextual signals

– Learning for user interaction optimization: algorithms, frameworks &
system designs

   -

   Intelligent interface designs:

– Adaptive personal digital assistants
– Tailored decision support
– Adaptive collaboration support

   -

   User Needs & Tasks Understanding:

– User intent analysis/prediction

– Task identification

– Task aware suggestions & recommendations

   -

   User Modeling & Personalization:

– Short and Long-term User Modelling

– Personalization & Diversification

– Coherence

   -

   Metrics and Evaluation :

– Metrics based on user interactions

– User engagement metrics design

– Evaluation mechanisms; user satisfaction prediction

– Controlled laboratory study

– Online metrics Test collection

   -

   Applications:

– Conversational search, personal search, chatbots, digital assistants

– Contextual Advertising

– E-commerce recommendations

– Intelligent interfaces

– Case studies of real world implementations


Special Issue Guest Editors


Rishabh Mehrotra <http://rishabhmehrotra.com/>, Spotify Research, London, UK

Ahmed Hassan Awadallah
<https://www.microsoft.com/en-us/research/people/hassanam/>, Microsoft
Research, USA

Emine Yilmaz <https://sites.google.com/site/emineyilmaz/>, University
College London & the Alan Turing Institute, UK


Paper Submission

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.

All papers are to be submitted by referring to http://www.springer.com/10791
(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.

For inquiries on the above please contact Rishabh Mehrotra (
rishabhm at spotify.com)

-- 
Rishabh.
Web: www.rishabhmehrotra.com
Twitter: https://twitter.com/erishabh
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