Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Ismail Sengor Altingovde"'
Publikováno v:
IEEE Transactions on Learning Technologies
In this digital age, there is an abundance of online educational materials in public and proprietary platforms. To allow effective retrieval of educational resources, it is a necessity to build keyword-based search engines over these collections. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c72fac6db4c36b0e6618106483969be
https://hdl.handle.net/11693/76900
https://hdl.handle.net/11693/76900
Publikováno v:
Information Processing and Management
Diversification of web search results aims to promote documents with diverse content (i.e., covering different aspects of a query) to the top-ranked positions, to satisfy more users, enhance fairness and reduce bias. In this work, we focus on the exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8d275abbb9757b082d2757ea53c7d21
https://eprints.gla.ac.uk/219943/2/219943.pdf
https://eprints.gla.ac.uk/219943/2/219943.pdf
Publikováno v:
Journal of the Association for Information Science and Technology
Making use of search systems to foster learning is an emerging research trend known as search as learning. Earlier works identified result diversification as a useful technique to support learning‐oriented search, since diversification ensures a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01322b70e992a6fcf09dca4453a46d7d
https://hdl.handle.net/11511/46783
https://hdl.handle.net/11511/46783
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
ECIR (2)
Implicit result diversification methods exploit the content of the documents in the candidate set, i.e., the initial retrieval results of a query, to obtain a relevant and diverse ranking. As our first contribution, we explore whether recently introd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a99c71b9f31118bd1c5bd8b962c5b55
https://doi.org/10.1007/978-3-030-45442-5_51
https://doi.org/10.1007/978-3-030-45442-5_51
Autor:
Ismail Sengor Altingovde, Burak Goynuk
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030454418
ECIR (2)
ECIR (2)
We adopt a supervised learning framework, namely R-LTR [17], to diversify image search results, and extend it in various ways. Our experiments show that the adopted and proposed variants are superior to two well-known baselines, with relative gains u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22d4777b2735daa4048f724972c46845
https://doi.org/10.1007/978-3-030-45442-5_20
https://doi.org/10.1007/978-3-030-45442-5_20
Autor:
Nattiya Kanhabua, Kaweh Djafari Naini, Claudia Niederée, Ricardo Kawase, Ismail Sengor Altingovde
Publikováno v:
Information Retrieval Journal. 22:159-187
Social media posts are a great source for life summaries aggregating activities, events, interactions and thoughts of the last months or years. They can be used for personal reminiscence as well as for keeping track with developments in the lives of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d920197f33408dc3ee1dec4587bb10b5
https://doi.org/10.1007/s10791-018-9339-9
https://doi.org/10.1007/s10791-018-9339-9
Autor:
Alexander Braylan, Md. Mustafizur Rahman, Maarten de Rijke, Vivek Khetan, Quinten McNamara, Ye Zhang, Aaron Angert, Edward Banner, Heng-Lu Chang, Ismail Sengor Altingovde, Henna Kim, An Thanh Nguyen, Kezban Dilek Onal, Dan Xu, Brandon Dang, Matthew Lease, Byron C. Wallace, Pinar Karagoz, Tyler McDonnell
Publikováno v:
Information Retrieval Journal, 21(2-3), 111-182. Springer Netherlands
A recent “third wave” of neural network (NN) approaches now delivers state-of-the-art performance in many machine learning tasks, spanning speech recognition, computer vision, and natural language processing. Because these modern NNs often compri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2866d467d2785cd918f95d507a3d8a64
https://doi.org/10.1007/s10791-017-9321-y
https://doi.org/10.1007/s10791-017-9321-y
Autor:
Roi Blanco, Rifat Ozcan, B. Barla Cambazoglu, Erdem Sarigil, Özgür Ulusoy, Ismail Sengor Altingovde
Publikováno v:
Journal of the Association for Information Science and Technology
A non‐negligible fraction of user queries end up with very few or even no matching results in leading commercial web search engines. In this work, we provide a detailed characterization of such queries and show that search engines try to improve su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47da49a19f19254c49089301de77f0f1
https://doi.org/10.1002/asi.23955
https://doi.org/10.1002/asi.23955
Publikováno v:
The Journal of Systems and Software
Mobile local search queries tend to be short and categorical.Social features can be useful for machine-learned ranking models in local search.Different query categories can utilize social features to varying degrees. As availability of Internet acces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09f3cf6a7b1302d719a055e2af0f4cd4
https://doi.org/10.1016/j.jss.2016.09.013
https://doi.org/10.1016/j.jss.2016.09.013
Autor:
Ismail Sengor Altingovde, Erman Yafay
Publikováno v:
CIKM
We propose to use a score cache, which stores the score of the k-th result of a query, to accelerate top-k query processing with dynamic pruning methods (i.e., WAND and BMW). We introduce heuristics that, for a new query, generate its subsets and pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::778aaf4d9e282d5c18caa791da3c40cc
https://aperta.ulakbim.gov.tr/record/72473
https://aperta.ulakbim.gov.tr/record/72473