Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Soboroff I."'
Publikováno v:
Soboroff, I. (ed.), TREC 2021: The Thirtieth Text REtrieval Conference, November 15--19, 2021. Proceedings, 1-7. [S.l.] : NIST
STARTPAGE=1;ENDPAGE=7;ISSN=1048-776X;TITLE=Soboroff, I. (ed.), TREC 2021: The Thirtieth Text REtrieval Conference, November 15--19, 2021. Proceedings
STARTPAGE=1;ENDPAGE=7;ISSN=1048-776X;TITLE=Soboroff, I. (ed.), TREC 2021: The Thirtieth Text REtrieval Conference, November 15--19, 2021. Proceedings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d7f09ebce159536bfccbfd3791943018
http://hdl.handle.net/2066/250445
http://hdl.handle.net/2066/250445
Autor:
Allan, J., Arguello, J., Azzopardi, L., Bailey, P., Baldwin, T., Balog, K., Bast, H., Belkin, N., Berberich, K., von Billerbeck, B., Callan, J., Capra, R., Carman, M., Carterette, B., Clarke, C. L. A., Collins-Thompson, K., Craswell, N., Croft, W. B., Culpepper, J. S., Dalton, J., Demartini, G., Diaz, F., Dietz, L., Dumais, S., Eickhoff, C., Ferro, N., Fuhr, N., Geva, S., Hauff, C., Hawking, D., Joho, H., Jones, G. J. F., Kamps, J., Kando, N., Kelly, D., Kim, J., Kiseleva, J., Liu, Y., Lu, X., Mizzaro, S., Moffat, A., Nie, J. -Y., Olteanu, A., Ounis, I., Radlinski, F., de Rijke, M., Sanderson, M., Scholer, F., Sitbon, L., Smucker, M. D., Soboroff, I., Spina, D., Suel, T., Thom, J., Thomas, P., Trotman, A., Voorhees, E. M., de Vries, A. P., Yilmaz, E., Zuccon, G.
Publikováno v:
Sigir Forum, 52, 1, pp. 34-90
Sigir Forum, 52, 34-90
Sigir Forum, 52, 34-90
The purpose of the Strategic Workshop in Information Retrieval in Lorne is to explore the long-range issues of the Information Retrieval field, to recognize challenges that are on - or even over - the horizon, to build consensus on some of the key ch
OA platinum Reproducibility has become increasingly important for many research areas, among those IR is not an exception and has started to be concerned with reproducibility and its impact on research results. This paper describes our second attempt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e897be9c862767b71cc9f66464f7f58c
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85070529496
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85070529496
Autor:
Ferro N., Fuhr N., Grefenstette G., Konstan J. A., Castells P., Daly E. M., Declerck T., Ekstrand M. D., Geyer W., Gonzalo J., Kuflik T., Lind'En K., Magnini B., Nie J. Y., Perego R., Shapira B., Soboroff I., Tintarev N., Verspoor K., Willemsen M. C., Zobel J.
Publikováno v:
Dagstuhl Manifestos, 7(1)
Dagstuhl Manifestos, 7(1), 96-139. Schloss Dagstuhl-Leibniz-Zentrum für Informatik
Dagstuhl manifestos 7 (2018): 96–139. doi:10.4230/DagMan.7.1.96
info:cnr-pdr/source/autori:Ferro N.; Fuhr N.; Grefenstette G.; Konstan J.A.; Castells P.; Daly E.M.; Declerck T.; Ekstrand M.D.; Geyer W.; Gonzalo J.; Kuflik T.; Lind'en K.; Magnini B.; Nie J.Y.; Perego R.; Shapira B.; Soboroff I.; Tintarev N.; Verspoor K.; Willemsen M.C.; Zobel J./titolo:From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)/doi:10.4230%2FDagMan.7.1.96/rivista:Dagstuhl manifestos/anno:2018/pagina_da:96/pagina_a:139/intervallo_pagine:96–139/volume:7
Dagstuhl Manifestos, 7(1), 96-139. Schloss Dagstuhl-Leibniz-Zentrum für Informatik
Dagstuhl manifestos 7 (2018): 96–139. doi:10.4230/DagMan.7.1.96
info:cnr-pdr/source/autori:Ferro N.; Fuhr N.; Grefenstette G.; Konstan J.A.; Castells P.; Daly E.M.; Declerck T.; Ekstrand M.D.; Geyer W.; Gonzalo J.; Kuflik T.; Lind'en K.; Magnini B.; Nie J.Y.; Perego R.; Shapira B.; Soboroff I.; Tintarev N.; Verspoor K.; Willemsen M.C.; Zobel J./titolo:From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442)/doi:10.4230%2FDagMan.7.1.96/rivista:Dagstuhl manifestos/anno:2018/pagina_da:96/pagina_a:139/intervallo_pagine:96–139/volume:7
We describe the state-of-the-art in performance modeling and prediction for Information Retrieval (IR), Natural Language Processing (NLP) and Recommender Systems (RecSys) along with its shortcomings and strengths. We present a framework for further r
Autor:
Awad, G., Soboroff, I., Butt, A., Curtis, K., Ellis, A., Dimmick, D., Fiscus, J., Godil, A., Delgado, A., Smeaton, A., Graham, Y., Kraaij, W., Quénot, G., Magalhaes, J., Semedo, D., Blasi, S., Strassel, S., Lee, Y., Joy, D.
Publikováno v:
2018 TREC Video Retrieval Evaluation, TRECVID 2018, 2018 TREC Video Retrieval Evaluation, TRECVID 2018, 13 November 2018 through 15 November 2018
[No abstract available]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10718::6fb50d8d4e8c8a2d7cb11a415a6bb273
http://resolver.tudelft.nl/uuid:1fa23f89-e775-4715-a051-771df0720d76
http://resolver.tudelft.nl/uuid:1fa23f89-e775-4715-a051-771df0720d76
Conference
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