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Semantic tags generation and retrieval for online advertising

Roberto Mirizzi, Azzurra Ragone, Tommaso Di Noia, Eugenio Di Sciascio
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
One of the main problems in online advertising is to display ads which are relevant and appropriate w.r.t. what the user is looking for.  ...  We exploit semantic relations stored in the DBpedia dataset and use an hybrid ranking system to rank keywords and to expand queries formulated by the user.  ...  CONCLUSION AND FUTURE WORK In this paper we presented a novel system for semantic tag generation and retrieval.  ... 
doi:10.1145/1871437.1871576 dblp:conf/cikm/MirizziRNS10 fatcat:tqowxx3c4babxcp7glqnn45zq4

Knowledge discovery over community-sharing media: From signal to intelligence

Winston Hsu, Tao Mei, Rong Yan
2009 2009 IEEE International Conference on Multimedia and Expo  
and pose new challenges for the design of efficient search, mining, and visualization methods for manipulation.  ...  applications such as annotation, automatic training data acquisition, contextual advertising, and visualization.  ...  Leverage social annotation as training data Online social annotation has proved a valuable resource for learning media semantics.  ... 
doi:10.1109/icme.2009.5202775 dblp:conf/icmcs/HsuMY09 fatcat:nzblrwkfjfdcvfhlc65pvkotbi

Context Aware Location Identification in Social Media Environment

2015 International Journal of Science and Research (IJSR)  
society and pose new challenges for the design of efficient search, mining, and visualization methods for manipulation.  ...  applications such as annotation, automatic training data acquisition, contextual advertising, and visualization.  ...  its high annotation quality for selforganization/retrieval purpose, and its social bookmarking functionality in online communities [4] .  ... 
doi:10.21275/v4i11.nov151065 fatcat:74uzbph3jvb7za4u6fqx4ckrqi

Semantic Advertising [article]

Ben Zamanzadeh, Naveen Ashish, Cartic Ramakrishnan, John Zimmerman
2013 arXiv   pre-print
Semantic Advertising is online advertising powered by semantic technology which essentially enables us to represent and reason with concepts and the meaning of things.  ...  We present the concept of Semantic Advertising which we see as the future of online advertising.  ...  Social-Media thinks of it as generating semantic tags for consumer data to identify consumer intent and potential shopping tendencies.  ... 
arXiv:1309.5018v1 fatcat:ddnvazemvfc2ll2ttveary3gqe

Multiword Keyword Recommendation System for Online Advertising

Stamatina Thomaidou, Michalis Vazirgiannis
2011 2011 International Conference on Advances in Social Networks Analysis and Mining  
As search engines, social networks, and the World Wide Web become more popular and widely used, online advertising turns into a very profitable industry.  ...  For this purpose, advertisers must create advertising campaigns. The development of these campaigns is a laborious task involving significant human resources and expertise.  ...  Thomaidou is co-financed by the European Union (ESF) and Greek national funds via Program "Education and Lifelong Learning" of the NSRF -Program: Heracleitus II. Prof. M.  ... 
doi:10.1109/asonam.2011.70 dblp:conf/asunam/ThomaidouV11 fatcat:dgtwzxxvgfadrpebt7h45l5moy

Interactive Web Video Advertising with Context Analysis and Search

Bo Wang, Jinqiao Wang, Ling-Yu Duan, Qi Tian, Hanqing Lu, Wen Gao
2010 2010 20th International Conference on Pattern Recognition  
Online media services and electronic commerce are booming recently. Previous studies have been devoted to contextual advertising, but few work deals with interactive web advertising.  ...  ., searching visually similar product images on shopping websites, ranking product tags by text aggregation, and re-search textual items consisting of semantic meaningful tags to make a recommendation.  ...  Acknowledgement This work is supported by Science Foundation of China (Gra 60833006 and 90920303). Also th supported by the National Basic R China under contract No. 2009CB3  ... 
doi:10.1109/icpr.2010.795 dblp:conf/icpr/WangWDTLG10 fatcat:i6fbvxlknbc7lp6om6whxsyueq

Interactive service recommendation based on ad concept hierarchy

Bo Wang, Jinqiao Wang, Ling-Yu Duan, Qi Tian, Hanqing Lu
2010 Proceedings of the Second International Conference on Internet Multimedia Computing and Service - ICIMCS '10  
For video tags (if any) and relevant product tags gained by visual search, we will launch a textual search based on our ad concept hierarchy to judge the product category, generate some suggestion keywords  ...  The rapid popularization of various online media services have attracted large amounts of consumers and shown us a large potential market of video advertising.  ...  TAG KEYWORD SUGGESTION 5.1 Tag Aggregation The well-known semantic gap is the main problem for all contentbased retrieval, so we will find different kinds of product images in the visual search results  ... 
doi:10.1145/1937728.1937749 dblp:conf/icimcs/WangWDTL10 fatcat:ggchsxacojemlbaku4z4swtp44

Webpage Keyword Extraction Using Term Frequency

Lamiaa Mostafa
2013 Journal of clean energy technologies  
The method used in this paper is term frequency for defining the frequent terms.  ...  An Experiment is executed to validate the method results; and the result of the new method is compared to Google adword tool.  ...  One of the well known previous researchers who worked in online advertising proposed a method for phrase extraction for the advertising purpose using HTML tags and TFIDF and query logs [13] .  ... 
doi:10.7763/ijcte.2013.v5.672 fatcat:zswpta3jr5bqvchq6x7i6uch2q

Advertisement and Document Recommendation based on Content in the Image

Meenakshi Chandak, A. S.
2018 International Journal of Computer Applications  
Along with text web pages, images have become an important media for various social media platforms to place relevant advertisements.  ...  As a result, the advertisements are only generally relevant to the entire web page rather than specific to images it contained.  ...  Considering the problem of recommending advertisements for web images, traditional methods largely rely on the textual contexts of images, such as surrounding text and social tags, to extract keywords  ... 
doi:10.5120/ijca2018917968 fatcat:w7ltppn4uvc2xc2spl4vxiztg4

Visual Tagging Through Social Collaboration: A Concept Paper [chapter]

Andrea Bellucci, Stefano Levialdi, Alessio Malizia
2007 Lecture Notes in Computer Science  
Collaborative tagging has grown on the Internet as a new paradigm for web information discovering, filtering and retrieval.  ...  We present a prototype of a semiautomatic system generating visual tags which gather information from collaborative tagging.  ...  We have presented a semiautomatic system for generating visual tags starting from a list of semantically related tags of a given seed word.  ... 
doi:10.1007/978-3-540-74800-7_22 fatcat:k22ivps22zhqbismnjffcl6hma

The mediamill search engine video

Cees G.M. Snoek
2010 Proceedings of the international conference on Multimedia - MM '10  
With an ultimate aim to disseminate video retrieval research to a non-technical audience, we explain the need for a visual video retrieval solution, summarize the MediaMill technology, and hint at future  ...  In this video demonstration, we advertise the MediaMill video search engine, a system that facilitates semantic access to video based on a large lexicon of visual concept detectors and interactive video  ...  ACKNOWLEDGMENTS We are grateful to video director Henk Haselager, the BSIK MultimediaN project for financial support, and the MediaMill team for search engine development.  ... 
doi:10.1145/1873951.1874212 dblp:conf/mm/Snoek10 fatcat:akwwcnyysnfybabeb4hwwzp42i

Generating advertising keywords from video content

Michael J. Welch, Junghoo Cho, Walter Chang
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
With the proliferation of online distribution methods for videos, content owners require easier and more effective methods for monetization through advertising.  ...  Ravi et al. [17] propose a two phase generative model for identifying relevant advertising keywords for a given Web page.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding institutions.  ... 
doi:10.1145/1871437.1871637 dblp:conf/cikm/WelchCC10 fatcat:ijroptctffbfxi5lhe475xl2o4

Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way [article]

Yijiang Lian, Zhenjun You, Fan Wu, Wenqiang Liu, Jing Jia
2020 arXiv   pre-print
In sponsored search, retrieving synonymous keywords is of great importance for accurately targeted advertising.  ...  The semantic gap between queries and keywords and the extremely high precision requirements (>= 95\%) are two major challenges to this task.  ...  RELATED WORK The semantic gap between users and advertisers is the most challenging problem in synonymous keywords retrieval.  ... 
arXiv:2008.01969v1 fatcat:ef5b3r2zkveihik265zzinzomy

Harnessing semantic web technologies for solving the dilemma of content providers

Claudia Wagner, Peter Scheir, Alexander Stocker, Wolfgang Halb
2010 Proceedings of the 6th International Conference on Semantic Systems - I-SEMANTICS '10  
The revenue of online content providers is mainly generated by advertisement and strongly depends on the number of users consuming their content.  ...  We illustrate how Semantic Web technologies can help content providers to open their content, i.e. making their content reusable and integrable for third parties, without loss in revenue.  ...  In Section 2 we introduce current models for online advertising and methods for the reuse of content on the Web.  ... 
doi:10.1145/1839707.1839733 dblp:conf/i-semantics/WagnerSSH10 fatcat:zgiaarjlrbdjjkkhxiiyabdgpu

Enabling web service discovery in heterogeneous environments

Zijie Cong, Alberto Fernández Gil
2013 International Journal of Metadata, Semantics and Ontologies  
A matchmaking method that encompasses different semantic, syntactic and hybrid service description languages based on this neutral model is also presented.  ...  A neutral model is proposed in this work for aligning different service description models.  ...  Work partially supported by the Spanish Ministry of Science and Innovation through grants TIN2009-13839-C03-02 (cofunded by Plan E) and CSD2007-0022.  ... 
doi:10.1504/ijmso.2013.056604 fatcat:kouqao3hobbghprocfa2pqn57i
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