Cargando…
Recommending Queries by Extracting Thematic Experiences from Complex Search Tasks
Since complex search tasks are usually divided into subtasks, providing subtask-oriented query recommendations is an effective way to support complex search tasks. Currently, most subtask-oriented query recommendation methods extract subtasks from plain form search logs consisting of only queries an...
Autores principales: | Zhao, Yuli, Zhang, Yin, Zhang, Bin, Gao, Kening, Li, Pengfei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512977/ https://www.ncbi.nlm.nih.gov/pubmed/33265549 http://dx.doi.org/10.3390/e20060459 |
Ejemplares similares
-
Developing a Semantically Based Query Recommendation for an Electronic Medical Record Search Engine: Query Log Analysis and Design Implications
por: Wu, Danny T Y, et al.
Publicado: (2023) -
Search queries related to COVID-19 based on keyword extraction
por: Kelebercová, Lívia, et al.
Publicado: (2022) -
Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions
por: Biega, Asia J., et al.
Publicado: (2020) -
Multi-Task Learning Model for Kazakh Query Understanding
por: Haisa, Gulizada, et al.
Publicado: (2022) -
Monitoring Pertussis Infections Using Internet Search Queries
por: Zhang, Yuzhou, et al.
Publicado: (2017)