Tf-idf (Japanese Wikipedia)

Analysis of information sources in references of the Wikipedia article "Tf-idf" in Japanese language version.

refsWebsite

Global rank Japanese rank

2^nd place

6^th place

179^th place

608^th place

1nbn-resolving.de

3,251^st place

low place

5^th place

19^th place

1jmotif.github.io

low place

low place

1semanticscholar.org

11^th place

1,537^th place

1,185^th place

2,667^th place

304^th place

20^th place

low place

low place

low place

low place

acm.org

dl.acm.org

Sivic, Josef; Zisserman, Andrew (2003-01-01). Video Google: A Text Retrieval Approach to Object Matching in Videos. ICCV '03. 1470–. doi:10.1109/ICCV.2003.1238663. ISBN 978-0-7695-1950-0

beel.org

Beel, Joeran; Breitinger, Corinna (2017). “Evaluating the CC-IDF citation-weighting scheme – How effectively can 'Inverse Document Frequency' (IDF) be applied to references?”. Proceedings of the 12th IConference.

doi.org

Rajaraman, A.; Ullman, J.D. (2011). “Data Mining”. Mining of Massive Datasets. pp. 1–17. doi:10.1017/CBO9781139058452.002. ISBN 978-1-139-05845-2
Breitinger, Corinna; Gipp, Bela; Langer, Stefan (2015-07-26). “Research-paper recommender systems: a literature survey” (英語). International Journal on Digital Libraries 17 (4): 305–338. doi:10.1007/s00799-015-0156-0. ISSN 1432-5012.
Luhn, Hans Peter (1957). “A Statistical Approach to Mechanized Encoding and Searching of Literary Information”. IBM Journal of Research and Development 1 (4): 309–317. doi:10.1147/rd.14.0309 2 March 2015閲覧. "There is also the probability that the more frequently a notion and combination of notions occur, the more importance the author attaches to them as reflecting the essence of his overall idea."
Spärck Jones, K. (1972). “A Statistical Interpretation of Term Specificity and Its Application in Retrieval”. Journal of Documentation 28: 11–21. doi:10.1108/eb026526.
Manning, C.D.; Raghavan, P.; Schutze, H. (2008). “Scoring, term weighting, and the vector space model”. Introduction to Information Retrieval. pp. 100. doi:10.1017/CBO9780511809071.007. ISBN 978-0-511-80907-1
Robertson, S. (2004). “Understanding inverse document frequency: On theoretical arguments for IDF”. Journal of Documentation 60 (5): 503–520. doi:10.1108/00220410410560582.
Aizawa, Akiko (2003). “An information-theoretic perspective of tf–idf measures” (英語). Information Processing and Management 39 (1): 45–65. doi:10.1016/S0306-4573(02)00021-3.
Bollacker, Kurt D.; Lawrence, Steve; Giles, C. Lee (1998-01-01). CiteSeer: An Autonomous Web Agent for Automatic Retrieval and Identification of Interesting Publications. AGENTS '98. 116–123. doi:10.1145/280765.280786. ISBN 978-0-89791-983-8
Sivic, Josef; Zisserman, Andrew (2003-01-01). Video Google: A Text Retrieval Approach to Object Matching in Videos. ICCV '03. 1470–. doi:10.1109/ICCV.2003.1238663. ISBN 978-0-7695-1950-0
Khoo Khyou Bun; Bun, Khoo Khyou; Ishizuka, M. (2001) (英語). Emerging Topic Tracking System. 2. doi:10.1109/wecwis.2001.933900. ISBN 978-0-7695-1224-2

gipp.com

Langer, Stefan; Gipp, Bela (2017). “TF-IDuF: A Novel Term-Weighting Scheme for User Modeling based on Users' Personal Document Collections”. IConference.

jmotif.github.io

“TFIDF statistics | SAX-VSM”. 2022年3月29日閲覧。

nbn-resolving.de

Breitinger, Corinna; Gipp, Bela; Langer, Stefan (2015-07-26). “Research-paper recommender systems: a literature survey” (英語). International Journal on Digital Libraries 17 (4): 305–338. doi:10.1007/s00799-015-0156-0. ISSN 1432-5012.

nii.ac.jp

research.nii.ac.jp

Seki, Yohei. “Sentence Extraction by tf/idf and Position Weighting from Newspaper Articles”. National Institute of Informatics. 2022年3月29日閲覧。

semanticscholar.org

Bollacker, Kurt D.; Lawrence, Steve; Giles, C. Lee (1998-01-01). CiteSeer: An Autonomous Web Agent for Automatic Retrieval and Identification of Interesting Publications. AGENTS '98. 116–123. doi:10.1145/280765.280786. ISBN 978-0-89791-983-8

stanford.edu

nlp.stanford.edu

Manning, C.D.; Raghavan, P.; Schutze, H. (2008). “Scoring, term weighting, and the vector space model”. Introduction to Information Retrieval. pp. 100. doi:10.1017/CBO9780511809071.007. ISBN 978-0-511-80907-1
See also Probability estimates in practice in Introduction to Information Retrieval.

i.stanford.edu

Rajaraman, A.; Ullman, J.D. (2011). “Data Mining”. Mining of Massive Datasets. pp. 1–17. doi:10.1017/CBO9781139058452.002. ISBN 978-1-139-05845-2

web.stanford.edu

Luhn, Hans Peter (1957). “A Statistical Approach to Mechanized Encoding and Searching of Literary Information”. IBM Journal of Research and Development 1 (4): 309–317. doi:10.1147/rd.14.0309 2 March 2015閲覧. "There is also the probability that the more frequently a notion and combination of notions occur, the more importance the author attaches to them as reflecting the essence of his overall idea."

worldcat.org

search.worldcat.org

Breitinger, Corinna; Gipp, Bela; Langer, Stefan (2015-07-26). “Research-paper recommender systems: a literature survey” (英語). International Journal on Digital Libraries 17 (4): 305–338. doi:10.1007/s00799-015-0156-0. ISSN 1432-5012.