Overview of the CLEF 2016 Social Book Search Lab
| Autor: | Koolen, M., Bogers, T., Gäde, M., Hall, M., Hendrickx, I., Huurdeman, H., Kamps, J., Skov, M., Verberne, S., Walsh, D., Fuhr, N., Quaresma, P., Gonçalves, T., Larsen, B., Balog, K., Macdonald, C., Cappellato, L., Ferro, N. |
|---|---|
| Přispěvatelé: | Faculteit der Geesteswetenschappen, Language and Computation (ILLC, FNWI/FGw), ILLC (FGw) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
User profile
Exploit Computer science 05 social sciences 020207 software engineering Information needs 02 engineering and technology Recommender system Clef Ranking (information retrieval) World Wide Web Metadata 0202 electrical engineering electronic engineering information engineering 0509 other social sciences User interface 050904 information & library sciences |
| Zdroj: | Experimental IR Meets Multilinguality, Multimodality, and Interaction: 7th International Conference of the CLEF Association, CLEF 2016, Évora, Portugal, September 5-8, 2016: proceedings, 351-370 STARTPAGE=351;ENDPAGE=370;TITLE=Experimental IR Meets Multilinguality, Multimodality, and Interaction Lecture Notes in Computer Science ISBN: 9783319445632 CLEF |
| Popis: | The Social Book Search (SBS) Lab investigates book search in scenarios where users search with more than just a query, and look for more than objective metadata. Real-world information needs are generally complex, yet almost all research focuses instead on either relatively simple search based on queries, or on profile-based recommendation. The goal is to research and develop techniques to support users in complex book search tasks. The SBS Lab has three tracks. The aim of the Suggestion Track is to develop test collections for evaluating ranking effectiveness of book retrieval and recommender systems. The aim of the Interactive Track is to develop user interfaces that support users through each stage during complex search tasks and to investigate how users exploit professional metadata and user-generated content. The Mining Track focuses on detecting and linking book titles in online book discussion forums, as well as detecting book search research in forum posts for automatic book recommendation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|