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Despite its troubled past, the AOL Query Log continues to be an important resource to the research community -- particularly for tasks like search personalisation.
Ounis, I., Amati, G., Plachouras, V., He, B., Macdonald, C., Johnson, D.: Terrier information retrieval platform. In: ECIR (2005)
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Barbaro, M., Zeller, T.: A face is exposed for AOL searcher no. 4417749. The New York Times (Aug 2006), URL https://www.nytimes.com/2006/08/09/technology/09aol.html
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Pass, G., Chowdhury, A., Torgeson, C.: A picture of search. In: InfoScale (2006)
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Jones, R., Klinkner, K.L.: Beyond the session timeout: automatic hierarchical segmentation of search topics in query logs. In: CIKM (2008)
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Nunes, S., Ribeiro, C., David, G.: Use of temporal expressions in web search. In: ECIR (2008)
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Rafiei, D., Bharat, K., Shukla, A.: Diversifying web search results. In: WWW (2010)
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Kanoulas, E., Hall, M.M., Clough, P.D., Carterette, B., Sanderson, M.: Overview of the TREC 2011 session track. In: TREC (2011)
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McCreadie, R., Soboroff, I., Lin, J.J., MacDonald, C., Ounis, I., McCullough, D.: On building a reusable twitter corpus. In: SIGIR (2012)
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Bajaj, P., Campos, D., Craswell, N., Deng, L., Gao, J., Liu, X., Majumder, R., McNamara, A., Mitra, B., Nguyen, T., Rosenberg, M., Song, X., Stoica, A., Tiwary, S., Wang, T.: MS MARCO: A human generated machine reading comprehension dataset. In: CoCo@NIPS (2016)
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Dehghani, M., Zamani, H., Severyn, A., Kamps, J., Croft, W.B.: Neural ranking models with weak supervision. In: SIGIR (2017)
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2017
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Sequiera, R.D., Lin, J.: Finally, a downloadable test collection of tweets. In: SIGIR (2017)
2017
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Ahmad, W.U., Chang, K.W., Wang, H.: Multi-task learning for document ranking and query suggestion. In: ICLR (2018)
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Fuhr, N.: Some common mistakes in IR evaluation, and how they can be avoided. SIGIR Forum (2018)
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Ahmad, W.U., Chang, K.W., Wang, H.: Context attentive document ranking and query suggestion. In: SIGIR (2019)
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Zhou, Y., Dou, Z., Wen, J.R.: Encoding history with context-aware representation learning for personalized search. In: SIGIR (2020)
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Breuer, T., Ferro, N., Maistro, M., Schaer, P.: repro_eval: A python interface to reproducibility measures of system-oriented IR experiments. In: ECIR (2021)
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Cheng, Q., Ren, Z., Lin, Y., Ren, P., Chen, Z., Liu, X.Y., de Rijke, M.: Long short-term session search: Joint personalized reranking and next query prediction. In: The Web Conference (2021)
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MacAvaney, S., Yates, A., Hui, K., Frieder, O.: Content-based weak supervision for ad-hoc re-ranking. In: SIGIR (2019)
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Ma, Z., Dou, Z., Bian, G., Wen, J.R.: PSTIE: Time information enhanced personalized search. In: CIKM (2020)
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MacAvaney, S.: OpenNIR: A complete neural ad-hoc ranking pipeline. In: WSDM (2020)
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MacAvaney, S., Cohan, A., Goharian, N.: SLEDGE-Z: A zero-shot baseline for covid-19 literature search. In: EMNLP (2020)
2020
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Nogueira, R., Jiang, Z., Pradeep, R., Lin, J.: Document ranking with a pretrained sequence-to-sequence model. In: Findings of EMNLP (2020)
2020
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Qu, C., Xiong, C., Zhang, Y., Rosset, C., Croft, W.B., Bennett, P.N.: Contextual re-ranking with behavior aware transformers. In: SIGIR (2020)
2020
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2021
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Kamara, S., Kati, A., Moataz, T., Schneider, T., Treiber, A., Yonli, M.: Cryptanalysis of encrypted search with LEAKER - a framework for leakage attack evaluation on real-world data. IACR Cryptol. ePrint Arch. (2021)
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Kang, Y.M., Liu, W., Zhou, Y.: QueryBlazer: Efficient query autocompletion framework. In: WSDM (2021)
2021
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MacAvaney, S., Yates, A., Feldman, S., Downey, D., Cohan, A., Goharian, N.: Simplified data wrangling with ir_datasets. In: SIGIR (2021)
2021
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Macdonald, C., Tonellotto, N., MacAvaney, S., Ounis, I.: Pyterrier: Declarative experimentation in python from bm25 to dense retrieval. In: CIKM (2021)
2021
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2021
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MacAvaney, S., Macdonald, C., Ounis, I.: Streamlining evaluation with ir-measures. In: ECIR (2022)
2022
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