Analyzing and evaluating query reformulation strategies in web search logs
By Jeff Huang, Efthimis N. Efthimiadis. International Conference on Information and Knowledge Management, 2009
328 citations recorded by the source corpus.
Subfields: Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/7d89b88615866da86bca8078667488a099bc5caa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Rodrigo Nogueira
- Kyunghyun Cho
- Wen-tau Yih
- Ruhi Sarikaya
- C. Burges
- Nick Craswell
- Sebastian Hofstätter
- Jamie Callan
In Management Science and Operations Research
Citations in the corpus
- The Technology Behind Personal Digital Assistants: An overview of the system architecture and key components (2017, methodology): “technology, such as query formulation and query-document analysis through click logs, have also contributed to innovation in QA [52].”
- Boosting Search Engines with Interactive Agents (2021, neutral): “Contextual query refinement is a common technique (Jansen et al., 2009), even among children (Rutter et al., 2015), used to improve search by combining evidence from previous results and background knowledge (Huang & Efthimiadis, 2009).”
- Query Expansion Techniques for Information Retrieval: a Survey (2017, neutral): “Among the techniques based on first approach, some use their combined retrieval results [119], while some do not (e.”
- Web-based Question Answering: Revisiting AskMSR (2015, background): “Second, given the advance of modern search engine technologies, especially on general query reformulation using query and click logs analysis (Huang and Efthimiadis, 2009), the existing question pattern generation process could be redundant and less optimal.”
- Dynamics of Content Quality in Collaborative Knowledge Production (2017, neutral): “2008; Huang et al .”
- Task-Oriented Query Reformulation with Reinforcement Learning (2017, background): “For instance, Huang and Efthimiadis (2009) estimate that 28-52% of all the web queries are modifications of previous ones.”
- Large Language Models for Information Retrieval: A Survey (2023, neutral): “As an upstream technique, query reformulation is designed to refine user queries so that they are more effective at retrieving relevant documents [10, 11].”