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Image-based Recommendations on Styles and Substitutes
[article]
2015
arXiv
pre-print
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We cast this as a network inference problem defined on graphs of related images, and provide a large-scale dataset for the training and evaluation of the same. ...
The system we develop is capable of recommending which clothes and accessories will go well together (and which will not), amongst a host of other applications. ...
This research was supported by the Data 2 Decisions Cooperative Research Centre, and the Australian Research Council Discovery Projects funding scheme DP140102270. ...
arXiv:1506.04757v1
fatcat:uzj57pu6efdkrodd7n52t73npy
Image-Based Recommendations on Styles and Substitutes
2015
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '15
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We cast this as a network inference problem defined on graphs of related images, and provide a large-scale dataset for the training and evaluation of the same. ...
Our approach is not based on fine-grained modeling of user annotations but rather on capturing the largest dataset possible and developing a scalable method for uncovering human notions of the visual relationships ...
A visual dataset of styles and substitutes We have developed a dataset suitable for the purposes described above based on the Amazon web store. ...
doi:10.1145/2766462.2767755
dblp:conf/sigir/McAuleyTSH15
fatcat:z5xegwekdvhm5au6my6i64lfzq
Fashionista
2016
Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion
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However, existing systems like Amazon and eBay still rely mainly on keyword search and recommending loosely consistent items (e.g. based on co-purchasing or browsing data), without an interface that makes ...
In this paper, we attempt to fill this gap by designing and implementing an image-based query system, called Fashionista, which provides a graphical interface to help users efficiently explore those items ...
There are also image search engines like Google Images that are either based on keywords or image similarity comparison. Such systems differ from ours in two key ways. ...
doi:10.1145/2872518.2890534
dblp:conf/www/HeLM16
fatcat:xtm4hdgwejgvdkp27z2ocwc75i
Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items
[article]
2016
arXiv
pre-print
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However, existing systems like Amazon and eBay still rely mainly on keyword search and recommending loosely consistent items (e.g. based on co-purchasing or browsing data), without an interface that makes ...
In this paper, we attempt to fill this gap by designing and implementing an image-based query system, called Fashionista, which provides a graphical interface to help users efficiently explore those items ...
There are also image search engines like Google Images that are either based on keywords or image similarity comparison. Such systems differ from ours in two key ways. ...
arXiv:1604.00071v1
fatcat:22umehggkvburaeuvvngjqsw3i
A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce
[article]
2018
arXiv
pre-print
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We review the production pipeline for surfacing these visually-aware recommender systems and compare them through offline validations and large-scale online A/B tests on Overstock. ...
The first system aims to maximize the visual-based style compatibility of the entire selection by making use of transfer learning and topic modeling. ...
built on text-based attributes and visual words. ...
arXiv:1806.11226v1
fatcat:2cnak27q7ndnjirvhso5m5cqpa
Style-compatible Object Recommendation for Multi-room Indoor Scene Synthesis
[article]
2020
arXiv
pre-print
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Current state-of-the-art object selection approaches are based on convolutional neural networks (CNNs) and can produce realistic scenes for a single room. ...
To address this issue, we treat the object selection problem as combinatorial optimization based on a Labeled LDA (L-LDA) model. ...
aesthetic. en, we automatically assign a style template image selected from a collections of style templates for each room based on the given image, and extract 5-color pale e for them as style guidance ...
arXiv:2003.04187v2
fatcat:zcfq73r4dvgmpdml3kclahexdq
Apparel-based deep learning system design for apparel style recommendation
2019
International Journal of Clothing Science and Technology
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) the new concept of apparel recommendation based on style meanings is technically applicable. ...
images, and the other is to further predict apparel MEANINGs based on predicted ATTRIBUTEs. ...
The recommendations are based on style genres and body shapes. ...
doi:10.1108/ijcst-02-2018-0019
fatcat:jcqgsnghfrddrkteuybnfryhfi
Integrating text with video and 3D graphics
2010
Proceedings of the 28th international conference on Human factors in computing systems - CHI '10
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(video and 3D) on text readability. ...
This paper presents an investigation into the effects of varying (a) text drawing style (plain, billboard, Anti-Interference, shadow), (b) image polarity (positive and negative), and (c) background style ...
SFI/08/CE/I1380 and Enterprise Ireland under Grant No. REI1004. ...
doi:10.1145/1753326.1753524
dblp:conf/chi/JankowskiSIJD10
fatcat:plhtdsi2njcmrclzojy6qhxuqm
Learning Context-Aware Outfit Recommendation
2020
Symmetry
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Specifically, the proposed method is based on scene images to learn the compatibility from fashion or interior design images. ...
The key to fashion recommendation is to capture the semantics behind customers' fit feedback as well as fashion visual style. ...
Most the previous studies were based on the extraction of visual features [2] of clothing products, i.e., by determining the complementary or substitutional relationship of clothing from image features ...
doi:10.3390/sym12060873
fatcat:hmblbya7hzckhgsijyepn4nvra
Page 13 of SRELS Journal of Information Management Vol. 32, Issue 1
[page]
1995
SRELS Journal of Information Management
Preserved Fulltext
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Character Accuracy Ratio
The accuracy ratio with regard to character substitutions and rejections based on the number of scanned characters.
a) Substitutions and rejections : The ratio of character substitutions ...
Number of Fonts resident : The maximum number of standard and optional type styles that are recognised by the unit. ...
PCI Matrix Based Image Reconstruction from Compressively Sensed Data
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Third, a substitution staggered L-Pyramid swell decay procedure is accommodated severable swell execution on pictures those outcomes in enhanced remaking execution. ...
Contrasted and the CS-based recreation misuse typical swells with Gaussian detecting network and with existing swell decay system, the arranged approach gives snappier and higher picture reproduction in ...
PCI Matrix Based Image Reconstruction from Compressively Sensed Data B. Mounika, B. ...
doi:10.35940/ijitee.i1142.0789s219
fatcat:j32v3kdu2jcjzbdrijax4dzvtq
A Review on Outfit Fashion Recommendation System
2021
International Journal of Scientific Research in Computer Science Engineering and Information Technology
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Clients and sellers benefit from such recommendations. On the one hand, customers can make smarter shopping decisions and discover new articles of clothes that complement one other. ...
Complex outfit recommendations, on the other hand, assist vendors in selling more products, which has an impact on their business. ...
And provided Image-based recommendations on styles and substitutes. Hu et al. [2] conducted a preliminary investigation into personalised outfit recommendation. ...
doi:10.32628/cseit217368
fatcat:3dtsus7ai5eahgv3npmetw6m2y
Smart Fashion: A Review of AI Applications in the Fashion Apparel Industry
[article]
2021
arXiv
pre-print
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Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving ...
The fashion industry is on the verge of an unprecedented change. ...
Recommenders Style recommenders do not focus on one item but on all clothing items in an image as a style and fashion instead. ...
arXiv:2111.00905v2
fatcat:6n6d62lntjfu5pxmjzgi4mpv6i
Towards Syriac Digital Corpora: Evaluation of Tesseract 4.0 for Syriac OCR
2019
Hugoye: Journal of Syriac Studies
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In all type styles, human revision of the OCRed text is recommended when scholars desire an exact, error-free corpus. ...
Three popular print types (S14, W64, and E22) representing the Syriac type styles Estrangela, Serto, and East Syriac were OCRed using Tesseract's two different OCR modes (Syriac Language and Syriac Script ...
and is the recommended mode to use. ...
doi:10.31826/hug-2019-220105
fatcat:6vpekqarwffwxgaqdla5xh7cna
Style conditioned recommendations
2019
Proceedings of the 13th ACM Conference on Recommender Systems - RecSys '19
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2019 pre-print arXiv:1907.12388v1 fatcat:yobxp6ap3batbkgczz6e4n77ceOther Versions
We show a 12% improvement on NDCG@20 over the traditional VAE based approach and an average 22% improvement on AUC across all classes for predicting user style profiles against our best performing baseline ...
We propose Style Conditioned Recommendations (SCR) and introduce style injection as a method to diversify recommendations. ...
Our system instead creates new recommendations of existing items based on a user's history and new preferences, allowing the user to explore the catalog of items under different assumed user style profiles ...
doi:10.1145/3298689.3347007
dblp:conf/recsys/IqbalAA19
fatcat:wcngwunznva7pmbyr6dlccwyd4
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