[Asis-l] Information Retrieval Journal - Special Issue on "Social Media for Personalization and Search"

[Ludovico Boratto]

*Information Retrieval Journal (Springer)*
*Special Issue on “Social Media for Personalization and Search”*
http://somepeas.di.uniroma1.it/somepeas-si2018.html

*CALL FOR PAPERS*
Social media platforms have become powerful tools to collect the
preferences of the users and get to know them more. In order to build
profiles about what the users like or dislike, a system does not only have
to rely on explicitly given preferences (e.g., ratings) or on implicitly
collected data (e.g., from the browsing sessions). In the middle, there lie
opinions and preferences expressed through likes, textual comments,
click/view logs, following preferences, digital conversations, and posted
content. Moreover, the social network itself can provide information on who
influences whom.

In order to improve the web experience of the users, classic
personalization technologies (e.g., recommender systems) and search engines
usually rely on static schemes. Users are allowed to express ratings in a
fixed range of values for a given catalogue of products, or to express a
query that usually returns the same set of webpages/products for all the
users.

Being able to mine usage and collaboration patterns in social media and to
analyze the content generated by the users opens new frontiers in the
generation of personalization services and in the improvement of search
engines. Moreover, recent technological advances, such as deep learning,
are able to provide a context to the analyzed data (e.g., Google's
*word2vec* provides a vector representation of the words in a corpus,
considering the context in which a word has been used).
This special issue solicits novel papers that exploit social media on a
broad range of topics, including, but not limited to:

   - Recommender systems
   - Search and tagging
   - Query expansion
   - User modeling and profiling
   - Advertising and ad targeting
   - Content classification, categorization, and clustering
   - Using social network features/community detection algorithms for
   personalization and search purposes
   - Event/topic detection over heterogeneous social sources

*IMPORTANT DATES*

   - First submission paper due: October 30, 2017
   - First round decision made: December 30, 2017
   - Revised manuscript due: February 28, 2018
   - Final decision made: April 30, 2018
   - Final paper due: May 31, 2018

*SUBMISSION GUIDELINES*
Paper submissions must conform to the Information Retrieval Journal format
guidelines
<http://www.springer.com/computer/database+management+%26+information+retrieval/journal/10791>
.

Manuscripts must be submitted to the online submission system
<https://www.editorialmanager.com/inrt/>. Please, select option *S.I. :
Social Media for Personalization and Search* in the article type.

Submissions to this Special Issue must represent original material that has
been neither submitted to, nor published in, any other journal. A
submission based on one or more papers that appeared elsewhere should have
at least 30% of novel valuable content that extends the original work (the
original papers should be referenced and the novel contributions should be
clearly stated in the submitted paper).

*CONTACTS*
Website: http://somepeas.di.uniroma1.it/somepeas-si2018.html
For enquiries regarding the special issue, send an email to all the guest
editors at ludovico.boratto at acm.org, stilo at di.uniroma1.it,
kaltenbrunner at gmail.com.

*GUEST EDITORS*
Ludovico Boratto - EURECAT (Spain)
Andreas Kaltenbrunner - EURECAT (Spain)
Giovanni Stilo - Sapienza University of Rome (Italy)