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Learning to personalize trending image search suggestion

Chun-Che Wu, Tao Mei, Winston H. Hsu, Yong Rui
2014 Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval - SIGIR '14  
In this paper, we move one step forward to investigate personalized suggestion of trending image searches according to users' search behaviors.  ...  The personalized suggestion of image search consists of a trending textual query and its associated trending image.  ...  Personalized trending search suggestion To personalize search query suggestion for each user, it is reasonable to learn personal interest from user's search log.  ... 
doi:10.1145/2600428.2609569 dblp:conf/sigir/WuMHR14 fatcat:hwnaeemttjegrp2g6uydlnxtje

A Survey on Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation

Rahul Jadhav, Suvarna Pawar
2014 International Journal of Engineering Trends and Technoloy  
This paper provides various techniques or methods that are used to annotating facial images Keywords-Face annotation, web facial images, search base face annotation, content-based image retrieval, weak  ...  Face annotation related to face detection and recognition Recently research interests in mining weakly-labeled facial images on the internet to resolve research challenge in computer vision and image understanding  ...  The research suggest the model learned from caption based supervision D. Purify Web Facial images This aims to correct noisy web facial images for face recognition applications [9] , [10] .  ... 
doi:10.14445/22315381/ijett-v10p299 fatcat:e77oogqq3fhcde52zap5dqmuke

How far we've come

Shih-Fu Chang
2013 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
Trends are defined (nonscientifically) to be topics that appeared in ACM multimedia publications and have had a significant number of citations.  ...  The article also assesses the impacts of these trends on real-world applications.  ...  define concept distance for image search (2008), disambiguating search tag suggestions (2008), and refining Web image tags that are rich but often noisy (2009).  ... 
doi:10.1145/2491844 fatcat:c4loztyabjarnllbdzxxov2zje

Children's roles using keyword search interfaces at home

Allison Druin, Elizabeth Foss, Hilary Hutchinson, Evan Golub, Leshell Hatley
2010 Proceedings of the 28th international conference on Human factors in computing systems - CHI '10  
These roles are defined not only by the children's search actions, but also by who influences their searching, their perceived success, and trends in age and gender.  ...  These roles suggest a need for new interfaces that expand the notion of keywords, scaffold results, and develop a search culture among children.  ...  This suggests that children at this age could be more captivated by their personal interests when searching.  ... 
doi:10.1145/1753326.1753388 dblp:conf/chi/DruinFHGH10 fatcat:bequxg4fojc3bkcsrrqq3cpd2i

Technologies for AI-Driven Fashion Social Networking Service with E-Commerce [article]

Jinseok Seol, Seongjae Kim, Sungchan Park, Holim Lim, Hyunsoo Na, Eunyoung Park, Dohee Jung, Soyoung Park, Kangwoo Lee, Sang-goo Lee
2022 arXiv   pre-print
To this end, we trained deep learning based AI models for fashion and integrated them to build a fashion visual search system and a recommender system for OOTD.  ...  With the recent success of deep learning, many applications employ AI technologies such as visual search and recommender systems to provide novel and beneficial services.  ...  Special thanks to Jeeseung Han.  ... 
arXiv:2203.10996v1 fatcat:grtnlli5rzclvoi2sjryylrltm

New Assistance Site for Recommendation using Collaborative Filtering and Authenticate User using Face Detection

Ahmad Abulharish Jamil
2020 International Journal for Research in Applied Science and Engineering Technology  
to users on the idea of cooperative filtering and Trending.  ...  creating suggestions.  ...  The system suggests the product to users by victimization cooperative filtering and Trending additionally. Here users square measure register and login with the Face.  ... 
doi:10.22214/ijraset.2020.6114 fatcat:wfn5fog4zva3tmn7janocirxxu

An Overview of Current Trends, Techniques, Prospects, and Pitfalls of Artificial Intelligence in Breast Imaging

Swati Goyal
2021 Reports in Medical Imaging  
This review article aims to discuss current trends, techniques, and promising uses of artificial intelligence (AI) in breast imaging, apart from the pitfalls that may hinder its progress.  ...  Hence, both machine learning and human insight complement each other in revolutionizing breast imaging.  ...  Marchevsky et al suggested that AI applications in breast imaging research are being navigated by clinical interests to upgrade patient care.  ... 
doi:10.2147/rmi.s295205 fatcat:5zf4vcyhpfdnxpj7wbsh5jxwpe


Rosen Ivanov
2014 Proceedings of the 15th International Conference on Computer Systems and Technologies - CompSysTech '14  
The paper presents a mobile environment that enables personalized interactive learning for preschool children and students.  ...  the interests of the learner; and 2) L2 learning: personalized audio-lingual foreign language learning with a focus on word pronunciation and spelling.  ...  Current trends in learning systems suggest the efficacy of personalized learning [14] .  ... 
doi:10.1145/2659532.2659638 dblp:conf/compsystech/Ivanov14 fatcat:bm3lnhng3ndyphpimbomzalys4

Revamping Fashion E-Commerce in India using Artificial Intelligence

Shakeel Iqbal
2020 Current Trends in Fashion Technology & Textile Engineering  
The secondary research added to helping tackle these issues faced by the customers in the most efficient manner possible.  ...  The problem that was associated to the research was the general awareness about the AI tools used in E-commerce applications.  ...  valuable comments and discerning suggestions that has led to the improvement and completion of preliminary version of this paper.  ... 
doi:10.19080/ctftte.2019.05.555704 fatcat:wtblm5te4rgxrls7bnugjqmtfy

Web Content Mining Techniques: A Survey

Faustina Johnson, Santosh Kumar Gupta
2012 International Journal of Computer Applications  
As years passed World Wide Web became overloaded with information and it became hard to retrieve data according to the need. Web mining came as a rescue for the above problem.  ...  Web browsers became a tool to make the information available at our finger tips.  ...  Personalized web agents learn user preferences and discovers documents related to those user profiles [13, 6] .  ... 
doi:10.5120/7236-0266 fatcat:zsc5tzbqgvg3vn7l4al4h2e75i


Bhoomika C H, Rakshitha B H
2021 International Journal of Engineering Applied Sciences and Technology  
Also, this helps individual to understand why we needs to choose Machine Learning.  ...  Machine learning forms to be an important application of an Artificial Intelligence (AI).  ...  For example: An unsupervised learning technique that uses the images of vehicles to classify if it's a bus or a truck, So the model learns by identifying the parts of vehicles such as the length and width  ... 
doi:10.33564/ijeast.2021.v06i05.050 fatcat:wl3dz3k2xfbhnnb2rcjedz2xie

Reflective Approaches in Medical Education. Implications on Medical imaging

Raja Farahhana Raja Azhar, Haji Mohamed Nadzri Mohd Yusoff, Zainul Ibrahim Zainuddin
2018 The Internet Journal of Allied Health Sciences & Practice  
They are used to facilitate the learning and assessment in various medical disciplines. There is a dearth of articles that address reflective approaches in relation to Medical imaging education.  ...  Pertinent to Medical imaging education area, only two studies were found; one reported the promotion of reflective learning while the other touched on the portfolio.  ...  Acknowledgements I would like to acknowledge the contributions of Dr.Zainul Ibrahim Zainuddin and Mr. Mohamed NadzriMohdYusoff who jointly supervised this work.  ... 
doi:10.46743/1540-580x/2018.1696 fatcat:44zvnf6qinhazhdr5fyj4jljw4

Notable Papers and Trends from 2019 in Sensors, Signals, and Imaging Informatics

William Hsu, Christian Baumgartner, Thomas M. Deserno, Section Editors for the IMIA Yearbook Section on Sensors, Signals, and Imaging Informatics
2020 IMIA Yearbook of Medical Informatics  
These papers demonstrate the use of advanced machine learning techniques to improve comparisons between images acquired at different time points, fuse information from multiple sensors, and translate images  ...  Method: A broad literature search was conducted in January 2020 using PubMed.  ...  Acknowledgments The section editors would like to thank Adrien Ugon for supporting the external review process, and the external reviewers for their input on the candidate best papers.  ... 
doi:10.1055/s-0040-1702004 pmid:32823307 fatcat:azf464zzrzff3d6okstspbhi7a

Embedding Intelligence through Cognitive Services

Dr. Latika Kharb
2017 International Journal for Research in Applied Science and Engineering Technology  
Cognitive Services include various APIs, SDKs and services for the software developers to develop applications to display not only intelligence but also discoverable.  ...  Cognitive Services permit developers to embed intelligent features of emotions, recognition of voice/face/video and also embed understanding of it within their applications.  ...  The API returns suggested query strings based on partial search terms as the user types. D. Bing Image Search API The Images Search API provides a similar experience to  ... 
doi:10.22214/ijraset.2017.11083 fatcat:zcxwywln3vfdpo6hiqhjihr2ja

Personalized Face Modeling for Photorealistic Synthesis

Kyungmin Kim, Hyunjung Shim
2015 Journal of International Society for Simulation Surgery  
Faces play a key role in revealing the personalized attributes such as the identity, emotion, health condition, etc.  ...  Finally, we introduce remaining research issues and suggest the future research direction in face modeling.  ...  As a result, it is often required to capture up to few thousands of input images for constructing the personalized face model.  ... 
doi:10.18204/jissis.2015.2.2.047 fatcat:g64jwwl3gncgrj3ur2dky3hpsm
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