02-08-2012, 05:29 PM
Hi,
I need ppt / explanation of "Ranking Model Adaptation for Domain-Specific Search" Project.
Please send it to me asap.
email id: saravanarajang[at]yahoo.com
With Regards,
Rajan
02-08-2012, 05:29 PM
Hi, I need ppt / explanation of "Ranking Model Adaptation for Domain-Specific Search" Project. Please send it to me asap. email id: saravanarajang[at]yahoo.com With Regards, Rajan
03-08-2012, 10:42 AM
to get information about the topic "ranking model adaptation for domain specific search" related topic refer the link bellow https://seminarproject.net/Thread-rankin...fic-search
08-10-2012, 11:05 PM
hi,
I need some other title for domain specific search project my mail id is barkavi_v[at]yahoo.co.in
18-02-2013, 11:07 AM
I need UML diagrams forRANKING MODEL ADAPTATION FOR
DOMAIN-SPECIFIC SEARCH iagrams
23-02-2013, 11:40 PM
Hi..
please send source code of this project to my mail id my mail id is: rams2sribharath[at]gmail.com please send it as soon as possible ..
06-04-2013, 10:30 AM
ranking model adaptation for domain specific search ppt dnld
08-04-2013, 10:27 AM
To get full information or details of ranking model adaptation please have a look on the pages
https://seminarproject.net/Thread-rankin...fic-search https://seminarproject.net/Thread-rankin...#pid140719 if you again feel trouble on ranking model adaptation please reply in that page and ask specific fields in ranking model adaptation
14-04-2013, 06:51 PM
Plz send Ranking model Adaptation for Domain Specific search ppt send my mail id Sheeba0836[at]gmail.com
14-04-2013, 07:03 PM
send ppt for mail id urgent.
15-04-2013, 09:28 AM
To get full information or details of ranking model adaptation for domain specific search please have a look on the pages
https://seminarproject.net/Thread-rankin...fic-search https://seminarproject.net/Thread-rankin...#pid140719 if you again feel trouble on ranking model adaptation for domain specific search please reply in that page and ask specific fields in ranking model adaptation for domain specific search
15-03-2014, 05:03 PM
Hi,
I need ppt of "Ranking Model Adaptation for Domain-Specific Search" Project. Please send it to me. email id:rameshbabu.boddula[at]gmail.com
12-07-2016, 01:25 PM
RE: ranking model adaptation for domain specific search ppt
Hi, I need ppt of "Ranking Model Adaptation for Domain-Specific Search" Project. Please send it to me. email id:tumamaheswarrao[at]gmail.com
20-07-2016, 10:52 AM
Ranking Model Adaptation for Domain-Specific Search
With the explosive emergence of vertical search domains, applying the broad-based ranking model directly to different domains is no longer desirable due to domain differences, while building a unique ranking model for each domain is both laborious for labeling data and time consuming for training models. In this paper, we address these difficulties by proposing a regularization-based algorithm called ranking adaptation SVM (RA-SVM), through which we can adapt an existing ranking model to a new domain, so that the amount of labeled data and the training cost is reduced while the performance is still guaranteed. Our algorithm only requires the prediction from the existing ranking models, rather than their internal representations or the data from auxiliary domains. In addition, we assume that documents similar in the domain-specific feature space should have consistent rankings, and add some constraints to control the margin and slack variables of RA-SVM adaptively. Finally, ranking adaptability measurement is proposed to quantitatively estimate if an existing ranking model can be adapted to a new domain. Experiments performed over Letor and two large scale data sets crawled from a commercial search engine demonstrate the applicabilities of the proposed ranking adaptation algorithms and the ranking adaptability measurement. Recently, various domain-specific search engines emerge, which are restricted to specific topicalities or document formats, and vertical to the broad-based search. Simply applying the ranking model trained for the broad-based search to the verticals cannot achieve a sound performance due to the domain differences, while building different ranking models for each domain is both laborious for labeling sufficient training samples and time-consuming or the training process. In this paper, to address the above difficulties, we investigate two problems: (1) whether we can adapt the ranking model learned for existing Web page search or verticals, to the new domain, so that the amount of labeled data and the training cost is reduced, while the performance requirement is still satisfied; and (2) how to adapt the ranking model from auxiliary domains to a new target domain. We address the second problem from the regularization framework and an algorithm called ranking adaptation SVM is proposed. Our algorithm is flexible enough, which needs only the prediction from the existing ranking model, rather than the internal representation of the model or the data from auxiliary domains. The first problem is addressed by the proposed ranking adaptability measurement, which quantitatively estimates if an existing ranking model can be adapted to the new domain. Extensive experiments are performed over Letor benchmark dataset and two large scale datasets crawled from different domains through a commercial internet search engine, where the ranking model learned for one domain will be adapted to the other. The results demonstrate the applicabilities of the proposed ranking model adaptation algorithm and the ranking adaptability measurement. |
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