The Second Workshop on Heterogeneous Information Access at SIGIR 2016HIA workshop logo


Information access is becoming increasingly heterogeneous. Especially when the user’s information need is for exploratory purpose (e.g. planning a trip to China), returning a set of diverse results from different resources could benefit the user. This heterogeneous search paradigm is useful in many contexts and brings many new challenges. 

For example, when the user’s information need is for exploratory purpose (e.g. planning a trip to China), returning a set of diverse results from different resources (vertical search engines) could benefit the user. Aggregated search and composite retrieval are two instances of the new search paradigms that aims to be suitable for such information needs. This could also be useful when: user aim to re-find comprehensive information about his query in his personal search; or user search and gather different nugget information (e.g. an entity) from a set of RDF Web datasets (DBpedia, IMDB, etc.); or the user search a set of different files in a peer-to-peer online file sharing systems.

This is an emerging area as different services provided are becoming more heterogeneous and complex. Therefore, there are a number of directions that might be interesting for the research and industrial community. How to select the most relevant resources and present them concisely in order to best satisfy the user? How to model the complex user behaviour in this search scenario? How can we evaluate the performance of these systems? Those are a few key interesting research questions to study for heterogeneous information access.

Topics of Interests

The workshop topics are within the context of heterogeneous information access. They include but are not limited to:

  • User modeling for Heterogeneous Information Access
    • Short and Long-term User Modelling
    • Personalization
    • Diversification
    • Coherence
  • Metrics and measurements
    • Metrics based on test collection
    • Controlled laboratory study
    • Online metrics
    • Test collection
  • Optimization
    • Resource/Vertical selection
    • Result presentation visualization strategies
    • Presentation Optimization
    • Result Diversification
  • Applications
    • Aggregated/Federated search
    • Composite retrieval
    • Personal search
    • Structured/Semantic search
    • Peer-to-peer information retrieval

Program Committee

This is a list of confirmed PC members and they are ordered alphabetically by last name.

Jaime Arguello (University of North Carolina at Chapel Hill, USA) 
Roi Blanco (Yahoo Research, U.K.) 
Mohand Boughanem (University of Toulouse, France) 
Jamie Callan (Carnegie Mellon University, USA) 
Aleksandr Chuklin (Google, Switzerland) 
Thomas Demeester (Ghent University, Belgium) 
Zhicheng Dou (Renmin University, China) 
Djoerd Hiemstra (University of Twente, Netherlands) 
Liangjie Hong (Yahoo Research, USA) 
Birger Larsen (Aalborg University Copenhagen, Denmark) 
Ilya Markov (University of Amsterdam, Netherlands) 
Paul Thomas (Microsoft, Australia) 


  Ke (Adam) Zhou, Yahoo Research, UK;

  Yiqun Liu, Tsinghua University, China;

  Roger Jie Luo , Snapchat, USA;

  Joemon M. Jose , University of Glasgow, UK.