IIR 2017 offers an opportunity to present and discuss both theoretical and empirical research. Relevant topics include, but are not restricted to, the following subjects:
- Document Representation and Content Analysis (text representation, document structure, linguistic analysis, NLP for IR, cross- and multi-lingual IR, information extraction, sentiment analysis, clustering, classification, topic models, facets, text streams).
- Document Indexing (index granularity, distributed indexing, compression).
- Queries and Query Analysis (query intent, query suggestion and prediction, query representation and reformulation, query log analysis, conversational search and dialogue, spoken queries, summarization, question answering, query log mining).
- Retrieval Models and Ranking (IR theory, language models, probabilistic retrieval models, learning to rank, combining searches, diversity and aggregated search).
- Search Engine Architectures (gathering, indexing, distributed IR, mobile IR, cloud IR).
- Users and Interactive IR (user studies, user and task models, interaction analysis, session analysis, exploratory search, personalized search, social and collaborative search, search interface, whole-session support, user engagement).
- Filtering and Recommending (content-based filtering, collaborative filtering, recommender systems).
- IR and the Web of Data (Linked Data, Open Data, data mashups)
- Knowledge-enabled IR (Knowledge graphs, ontologies, Semantic Web, entity extraction and linking)
- Evaluation (test collections, experimental design, effectiveness measures, session-based evaluation, simulation).
- Web IR and Social Media Search (link analysis, click models/behavioral modeling, social tagging, social network analysis, blog and microblog search, forum search, community-based QA, adversarial IR and spam, vertical and local search, expert finding).
- IR and Structured Data (XML search, ranking in databases, desktop search, entity search)
- Multimedia IR (image search, video search, speech/audio search, music search).
- Application of neural network models in IR tasks.
- Other Applications (digital libraries, enterprise search, genomics IR, legal IR, patent search, text reuse, new retrieval problems).
RecSys @ IIR 2017 offers an opportunity to present and discuss both theoretical and empirical research. Relevant topics for the RecSys track include, but are not restricted to, the following subjects:
- Algorithm scalability
- Case studies of real-world implementations
- Conversational recommender systems
- Context-aware recommenders
- Evaluation metrics and studies
- Explanations and evidence
- Field and user studies
- Group recommenders
- Impact studies
- Innovative/New applications
- Machine learning for recommendation
- Mobile and multi-channel recommendations
- Novel paradigms
- Preference elicitation
- Privacy and Security
- Recommendation algorithms
- Social recommenders
- Semantic technologies for recommendation
- Targeted advertising
- Trust and reputation
- Theoretical foundations
- User interaction and interfaces
- User modeling
Papers may range from theoretical works to system descriptions. We particularly encourage PhD students or early-stage researchers to submit their research. We also welcome contributions from the industry. The conference languages are Italian and English.
Submissions must be written in English or Italian and follow the guidelines set by Springer (see here). Papers must be submitted through EasyChair (see here). Each paper will be reviewed by at least two PC members.
Authors are invited to submit:
- Full original papers (up to 12 pages)
- Short original papers (up to 8 pages)
- Extended abstracts containing descriptions of ongoing projects or summarizing already published results (up to 4 pages)
Authors of accepted papers will be invited to submit their paper for publication in the on-line post-proceedings, which will appear in the CEUR-WS on-line proceedings series. The post-proceedings will be indexed by DBLP (as happened for IIR 2010 to 2016 — see here for more details). Submission details will be notified to authors of accepted papers.
Accepted papers whose authors have not shown up at the workshop in order to present the paper will not be published in the post-proceedings.
- Submission website opens: March 13rd, 2017
- Submission deadline: April 15th, 2017
- Notification of acceptance: May 8th, 2017
- Camera ready deadline: May 26th, 2017
- IIR 2017: June 05-07, 2017