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A semantic approach to recommending text advertisements for images

Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang, Yong Yu
2012 Proceedings of the sixth ACM conference on Recommender systems - RecSys '12  
Visual contextual advertising, a young research area, refers to finding relevant text advertisements for a target image without any textual information (e.g., tags).  ...  In this paper, we propose a semantic approach to improving the performance of visual contextual advertising.  ...  In order to solve these problems, we proposed a semantic approach named iAdSense with the help of text and image knowledge bases.  ... 
doi:10.1145/2365952.2365987 dblp:conf/recsys/ZhangTSWY12 fatcat:nhrrho4am5hijnzlpwhvtuzmdq

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.  ...  However, conventional image advertising primarily uses text content rather than image content to match relevant advertisements.  ...  In this project, a new approach is proposed for online advertising, called image contextual advertising, which is to recommend advertisement for an image without the help of any surrounding text.  ... 
doi:10.5120/ijca2018917968 fatcat:w7ltppn4uvc2xc2spl4vxiztg4

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  
, and re-search textual items consisting of semantic meaningful tags to make a recommendation.  ...  A three-stage contextual search is applied to find relevant products or services from web pages, i.e., searching visually similar product images on shopping websites, ranking product tags by text aggregation  ...  SH is a promising approach to seek compact binary codes of data-points for similarity search and it would alleviate computational cost in high-dimensional spaces to a very great extent.  ... 
doi:10.1109/icpr.2010.795 dblp:conf/icpr/WangWDTLG10 fatcat:i6fbvxlknbc7lp6om6whxsyueq

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  
We review the research advances for enabling such applications and present a brief outlook on open issues and major opportunities.  ...  applications such as annotation, automatic training data acquisition, contextual advertising, and visualization.  ...  For example, a recent work presents an active tagging approach to combine the power of human and computer for recommending tags to images [13] .  ... 
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)  
We review the research advances for enabling such applications and present a brief outlook on open issues and major opportunities.  ...  applications such as annotation, automatic training data acquisition, contextual advertising, and visualization.  ...  For example, a recent work presents an active tagging approach to combine the power of human and computer for recommending tags to images [13] .  ... 
doi:10.21275/v4i11.nov151065 fatcat:74uzbph3jvb7za4u6fqx4ckrqi

Introduction to the special issue on multimedia intelligent services and technologies

Zhiwen Yu, Artur Lugmayr, Konstantinos Chorianopoulos, Tao Mei
2010 Multimedia Systems  
. simple text, combination of text and image, combination of text and video).  ...  They introduce a semantic-based user modeling technique to capture users' evolving information needs. The approach exploits implicit user interaction to capture long-term user interests in a profile.  ... 
doi:10.1007/s00530-010-0198-5 fatcat:w6d74qgorbgrnnh3t7um4abxx4

Learning Knowledge Bases for Text and Multimedia

Lexing Xie, Haixun Wang
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
This tutorial aims to present a gentle overview of knowledge bases on text and multimedia, including representation, acquisition, and inference.  ...  The research and development on knowledge bases is becoming a lively fusion area among web information extraction, machine learning, databases and information retrieval, with knowledge over images and  ...  to image instances, to learning knowledge graphs from parallel corpora of media and text. • Embedding and recommendation models for relationship learning.  ... 
doi:10.1145/2647868.2654851 dblp:conf/mm/XieW14 fatcat:2shg7fbllfho3fae4pxzdkbl3e

Content-Based Multimedia Recommendation Systems: Definition and Application Domains

Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, Gabriella Pasi
2018 Italian Information Retrieval Workshop  
of multimedia content for solving a variety of tasks related to recommendation.  ...  The goal of this work is to formally provide a general definition of a multimedia recommendation system (MMRS), in particular a content-based MMRS (CB-MMRS), and to shed light on different applications  ...  The goal here is to build a semantic match between two heterogeneous multimedia sources (e.g., content of an image and the advertisement in textual form). [24] proposed a visual contextual advertisement  ... 
dblp:conf/iir/DeldjooSCP18 fatcat:guhkkc7zqvahxfu6oabatyl6xe

Exploiting content relevance and social relevance for personalized ad recommendation on internet TV

Bo Wang, Jinqiao Wang, Hanqing Lu
2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
In this article, we introduce a scheme to provide targeted ad recommendation to Internet TV users by exploiting the content relevance and social relevance.  ...  Finally, with relevancy scores we make ranking for relevant product/ads to effectively provide users personalized recommendation.  ...  [2011] applied a semantic approach to build implicit trust networks and improve the recommendation results transparently to users.  ... 
doi:10.1145/2501643.2501648 fatcat:gygcs4tmeneynbnrpz7lr35wlu

Personalized Advertising Computational Techniques: A Systematic Literature Review, Findings, and a Design Framework

Iosif Viktoratos, Athanasios Tsadiras
2021 Information  
Finally, a design framework for personalized advertisement systems has been designed based on these findings.  ...  This work conducts a systematic literature review about the domain of personalized advertisement, and more specifically, about the techniques that are used for this purpose.  ...  More specifically, apart from collecting only advertisement-related data (e.g., text, image, etc.) and advertiser specifications for the target group, it is recommended to utilize the advertisers' related  ... 
doi:10.3390/info12110480 fatcat:53wmlsdlp5bmhffnv2fjst5vtq

Text Data Analysis for Advertisement Recommendation System Using Multi-label Classification of Machine Learning

Rushikesh Chandrakant Konapure, Dr. L.M.R.J. Lobo
2020 Zenodo  
Nowadays, people are making their content and uploading it on the streaming platforms so the size of the video dataset became massive compared to text, audio and image datasets.  ...  In this proposed system the title and description of video will be taken as input to classify the video using a natural language processing text classification method.  ...  of text and image data.  ... 
doi:10.5281/zenodo.3600112 fatcat:4zjk42oiufhzndek4rzqia37ru

LINGUO-RHETORICAL EXPLICATION OF SPEECH EMOTIONS IN ADVERTISING

Shoisayeva Dilkhumora Shojalil Kizi
2022 Zenodo  
The article explores advertising appeal as a special genre and rhetorical phenomenon. Advertising text is a communicative unit with a special structural and semantic organization.  ...  The objectives of the study are to identify the compositional, linguistic and rhetorical parameters of this text, as well as to study the impact on the mass addressee using cognitive, pragmatic and rhetorical  ...  Each advertising text functions in the media as a communicative unit that has certain structural and semantic components.  ... 
doi:10.5281/zenodo.5940251 fatcat:hakftc3unfekhc5dof4bj366ai

Discriminative Factor Alignment across Heterogeneous Feature Space [chapter]

Fangwei Hu, Tianqi Chen, Nathan N. Liu, Qiang Yang, Yong Yu
2012 Lecture Notes in Computer Science  
We integrate documents , tags and images to build a heterogeneous transfer learning factor alignment model and apply it to improve the performance of tag recommendation.  ...  In situations where the training data in a target domain are not sufficient to learn predictive models effectively, transfer learning leverages auxiliary source data from related domains for learning.  ...  We thank Weinan Zhang and Erheng Zhong for discussions. We thank the support of grants from NSFC-RGC joint research project HKUST 624/09 and 60931160445.  ... 
doi:10.1007/978-3-642-33486-3_48 fatcat:3gwvso7n6ffgveb4cz2sdsse4m

Language Units of the Morphological Level in the Style of the Advertising Text

Zuleykhan Kimovna Bedanokova, Susanna Kaplanovna Bedanokova, Anzhela Anatolyevna Adzinova, Svetlana Vladimirovna Lyapun
2015 Mediterranean Journal of Social Sciences  
be regarded as a means forming the stylistic unity of the advertising text.  ...  Sometimes ads are ahead of already existing norms of language, creating new images and models of verbal communication in the search for maximum efficiency of impact.  ...  The absence of an initiator of action, suggests that a well-known fact is reported in the advertising text. 2) and less, to the imperative one, cf.: Nas rekomenduyut druzyam [We are recommended to friends  ... 
doi:10.5901/mjss.2015.v6n5s2p204 fatcat:evid3pitgrhnbga63drd5fpif4

The national-cultural features of the language of modern advertising (Comparative study)

2021 Journal of Contemporary Issues in Business and Government  
In the contemporary world, advertising is presented to researchers multifaceted phenomenon.  ...  The question of its study is becoming important for a wide range of humanities. The national-cultural and linguistic research of advertising is acquiring significant significance at the present time.  ...  In an advertising text, it is important to be able to form an advertising image using various lexicosyntactic and visual means.  ... 
doi:10.47750/cibg.2021.27.03.014 fatcat:sb4tuwxhtfab7n3skgc76nlccy
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