Abstract is missing.
- Survey and evaluation of query intent detection methodsDavid J. Brenes, Daniel Gayo-Avello, Kilian Pérez-González. 1-7 [doi]
- Analysis of long queries in a large scale search logMichael Bendersky, W. Bruce Croft. 8-14 [doi]
- Distinguishing humans from robots in web search logs: preliminary results using query rates and intervalsOmer Duskin, Dror G. Feitelson. 15-19 [doi]
- Incremental learning to rank with partially-labeled dataKye-Hyeon Kim, Seungjin Choi. 20-27 [doi]
- Generating unambiguous URL clusters from web searchG. Smith, Tim J. Brailsford, Christoph Donner, Dennis Hooijmaijers, Mark Truran, James Goulding, Helen Ashman. 28-34 [doi]
- Topic-specific analysis of search queriesJudit Bar-Ilan, Zheng Zhu, Mark Levene. 35-42 [doi]
- Optimising topical query decompositionMarcin Sydow, Francesco Bonchi, Carlos Castillo 0001, Debora Donato. 43-47 [doi]
- Search shortcuts using click-through dataRanieri Baraglia, Fidel Cacheda, Victor Carneiro, Vreixo Formoso, Raffaele Perego, Fabrizio Silvestri. 48-55 [doi]
- Query suggestions using query-flow graphsPaolo Boldi, Francesco Bonchi, Carlos Castillo 0001, Debora Donato, Sebastiano Vigna. 56-63 [doi]
- Using query logs and click data to create improved document descriptionsMaarten van der Heijden, Max Hinne, Wessel Kraaij, Suzan Verberne, Theo P. van der Weide. 64-67 [doi]
- Intentional query suggestion: making user goals more explicit during searchMarkus Strohmaier, Mark Kröll, Christian Körner. 68-74 [doi]
- Usefulness of quality click-through data for trainingCraig Macdonald, Iadh Ounis. 75-79 [doi]
- Comparative analysis of clicks and judgments for IR evaluationJaap Kamps, Marijn Koolen, Andrew Trotman. 80-87 [doi]
- Tailoring click models to user goalsFan Guo, Lei Li, Christos Faloutsos. 88-92 [doi]