Overview of the TREC 2016 Contextual Suggestion Track

Autor: Hashemi, S.H., Clarke, C.L.A., Kamps, J., Kiseleva, J., Voorhees, E.M., Ellis, A.

Publikováno v: The Twenty-Fifth Text REtrieval Conference (TREC 2016) Proceedings

The TREC Contextual Suggestion Track offers a personalized point of interest (POI) recommendation task, in which participants develop systems to give a ranked list of suggestions related to a profile and a context pair available in the tasks' request

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::7efdd354239fcf5426a7eb18974caeb4
https://dare.uva.nl/personal/pure/en/publications/overview-of-the-trec-2016-contextual-suggestion-track(be7ca678-6e20-484e-b06e-a97dc1888a71).html

An Easter Egg Hunting Approach to Test Collection Building in Dynamic Domains

Autor: Hashemi, S.H., Clarke, C.L.A., Dean-Hall, A., Kamps, J., Kiseleva, J., Clarke, C., Yilmaz, E., Kando, N., Kato, M.P., Kishida, K., Yamamoto, S.

Publikováno v: Proceedings of the Seventh International Workshop on Evaluating Information Access (EVIA 2016): a Satellite Workshop of the NTCIR-12 Conference, June 7, 2016 Tokyo Japan
Proceedings of the Seventh International Workshop on Evaluating Information Access (EVIA 2016)

Test collections for offline evaluation remain crucial for information retrieval research and industrial practice, yet the classical Sparck Jones and Van Rijsbergen approach to test collection building based on the pooling of runs on a large collecti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::903b13739ece9bcbb391840583334642
https://dare.uva.nl/personal/pure/en/publications/an-easter-egg-hunting-approach-to-test-collection-building-in-dynamic-domains(8e90b205-bbd3-4a7c-b867-2f796dfa1049).html

Contextual Search and Exploration

Autor: Kiseleva, J., Kamps, J., Clarke, C.L.A., Braslavski, P., Markov, I., Pardalos, P., Volkovich, Y., Ignatov, D.I., Koltsov, S., Koltsova, O.

Publikováno v: Communications in Computer and Information Science ISBN: 9783319417172
RuSSIR
Information Retrieval: 9th Russian Summer School, RuSSIR 2015, Saint Petersburg, Russia, August 24-28, 2015 : revised selected papers, 3-23
STARTPAGE=3;ENDPAGE=23;TITLE=Information Retrieval

Personalized (mobile) devices are radically changing information access tools, with rich context allowing for far more powerful, personalized search. Rather than retrieving a “document” on the topic of a “query,” the rich contextual informati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e79cd5fec7cefa4f4b3cc143e7de2736
https://doi.org/10.1007/978-3-319-41718-9_1

Current Research on Search and Exploration of X-Rated Information

Autor: Murdock, V., Clarke, C.L.A., Kamps, J., Karlgren, J.

Publikováno v: Search and Exploration of X-rated Information: WSDM'16 workshop proceedings : February 22, 2016, San Francisco, USA, 7-9
STARTPAGE=7;ENDPAGE=9;TITLE=Search and Exploration of X-rated Information

Adult content is pervasive on the web, has been a driving factor in the adoption of the Internet medium, and is responsible for a significant fraction of traffic and revenues, yet rarely attracts attention in research. The research questions surround

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::ac412dd72564e9a936765216da009163
https://dare.uva.nl/personal/pure/en/publications/current-research-on-search-and-exploration-of-xrated-information(acbcab5d-30d8-40ce-8c68-4bd40cef84d0).html

Online evaluation of point-of-interest recommendation systems

Autor: Dean-Hall, A., Clarke, C.L.A., Kamps, J., Kiseleva, J., Gäde, M., Hall, M.M., Huurdeman, H., Koolen, M., Skov, M., Toms, E., Walsh, D.

Publikováno v: Proceedings of the First International Workshop on Supporting Complex Search Tasks: co-located with the 37th European Conference on Information Retrieval (ECIR 2015) : Vienna, Austria, March 29, 2015
Proceedings of the First International Workshop on Supporting Complex Search Tasks

In this work we describe a system to evaluate multiple point- of-interest recommendation systems. In this system each recommendation service will be exposed online and crowd-sourced assessors will interact with merged results from multiple services,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3b86df43ab7e4a4b1647741653afac0d
https://dare.uva.nl/personal/pure/en/publications/online-evaluation-of-pointofinterest-recommendation-systems(3a5de4d2-4635-42f8-a02e-a7eab7b0f4c5).html