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Incorporating feature hierarchy and boosting to achieve more effective classifier training and concept-oriented video summarization and skimming
2008
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Second, a novel multi-modal boosting algorithm is developed to achieve more reliable video classifier training by incorporating feature hierarchy and boosting to dramatically reduce both the training cost ...
Finally, the results of semantic video classification are incorporated to enable concept-oriented video summarization and skimming. ...
Klara Nahrstedt for her comments and handling the review process of our paper. ...
doi:10.1145/1324287.1324288
fatcat:gu7ti4jopzd5dagwjzk3flcow4
User-curated image collections: Modeling and recommendation
2015
2015 IEEE International Conference on Big Data (Big Data)
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2015 pre-print arXiv:1509.05671v1 fatcat:sv4rommipbc2tjsip4iiu5uuhu
In this paper, we aim to design a novel recommendation system that can provide users with image collections relevant to individual personal preferences and interests. ...
In contrast, socially curated image collections, condensing distinctive yet coherent images into one set, are largely overlooked by the research communities. ...
One direction to solve this problem is to first conduct a user study by recruiting users to label their own preferences, or specialized judges to label real Bing user preferences, given each user's search ...
doi:10.1109/bigdata.2015.7363803
dblp:conf/bigdataconf/LiMCL15
fatcat:ebw6hirf6jbz7iqdrzp5dhzysy
Multi-attributed Community Search in Road-social Networks
[article]
2021
arXiv
pre-print
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Given uncertain user preferences, namely, an approximate representation of weights, the MAC search reports the exact communities for each of the possible weight settings. ...
Given a location-based social network, how to find the communities that are highly relevant to query users and have top overall scores in multiple attributes according to user preferences? ...
.), users in Yelp also have real attribute data, such as average rating of all reviews, #reviews written, #hot compliments and so on. ...
arXiv:2101.09668v2
fatcat:declcqq2mjff7fhaoidmhm6dsy
Cross-Domain Recommendation via Clustering on Multi-Layer Graphs
2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval - SIGIR '17
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To fully utilize multi-source multi-view data, we process user-generated content by employing state-of-the-art text, image, and location processing techniques. ...
Group knowledge is derived based on new crosssource user community detection approach, which utilizes both inter-source relationship and the ability of sources to complement each other. ...
Besides the benefits described earlier, incorporation of user communities reduces the search space during the recommendation process and provides better candidates to compare for further collaborative ...
doi:10.1145/3077136.3080774
dblp:conf/sigir/FarseevSFC17
fatcat:oq6h6njzmffj7lhzub2nsfor6a
Research on Application of Machine Learning in Data Mining
2018
IOP Conference Series: Materials Science and Engineering
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The aim of this paper is to consider some recent theoretical aspects and approaches to ML and DM with an emphasis on the Italian research. Machine Learning searches for accurate models. ...
Multi-relational learning Problems and research lines investigated at the Machine Learning group in Bari related to learning with complex representations ultimately based on logic languages are briefly ...
Recommender systems Recommender Systems (RSs) are information search and filtering tools that provide suggestions for items to be of use to a user [121] . ...
doi:10.1088/1757-899x/392/6/062202
fatcat:mb23afk555eyxkv2gqr7kpkqum
Coalescence of Evolutionary Multi-Objective Decision Making approach and Genetic Programming for Selection of Software Quality Parameter
2014
International Journal of Applied Information Systems
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The outcome of a Multi objective fed into Genetic Programming for further mutation, to find out the perfect combination of variables of these quantities. ...
The paper highlights estimating the Quality Parameters of Software using Multi objective Decision Making approaches and Genetic Programming. ...
It directly searches for relations among the member of the search space. ...
doi:10.5120/ijais14-451255
fatcat:ihimcrrhungufee5kdedd7mj2m
Use and users of the Minrva mobile app
2017
Reference Services Review
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Analysis into how new students interact with the library and the effects of this interaction on academic performance and degree persistence with multi-dimensional data (e.g. ...
user preferences of Minrva modules. • Hours: displays which of the University of Illinois Libraries are currently open or closed. • Journal Search: The Journal Search Module searches a wide range of databases ...
doi:10.1108/rsr-09-2016-0056
fatcat:mlmnhlgjhzhdjnvpiqc7gliv5i
Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources
[article]
2018
arXiv
pre-print
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We employ our multi-photo approach to estimate body shapes of each user and build a conditional model of clothing categories given body-shape. ...
We demonstrate that in real-world data, clothing categories and body-shapes are correlated and show that our multi-photo approach leads to a better predictive model for clothing categories compared to ...
In the second group, users always have 2 images(I = 2) and third group contains users with 3 or more images of a clothing(I ≥ 3). Finally, we also show results with taking into account all users. ...
arXiv:1807.03235v2
fatcat:e3dzood2trcv5f5sqdsda5rviy
Multi-Objective Automatic Machine Learning with AutoxgboostMC
[article]
2021
arXiv
pre-print
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2019 pre-print arXiv:1908.10796v1 fatcat:3dpl2nemubeznbw25zc3kuhzim
We propose to optimize additional criteria defined by the user directly to guide the search towards an optimal machine learning pipeline. ...
In order to demonstrate the need and usefulness of our approach, we provide a simple multi-criteria AutoML system and showcase an exemplary application. ...
Additionally, different user-preferences regarding which trade-offs between objectives a user is willing to make have to be incorporated. ...
arXiv:1908.10796v2
fatcat:5jtzi2jetrfstok2xtt36vmlly
A Literature Survey on BIO-PULSE AI based Medcare App
2024
International Journal of Advanced Research in Science, Communication and Technology
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This paper details the design, implementation, and assessment of this advanced functionality seamlessly integrated into the MedCare Chatbot. ...
Employing a dual strategy of symptom-based prescription advice and image-based skin disease detection, the MedCare Chatbot aims to enhance healthcare accessibility and empower users to actively manage ...
These innovations will enable chatbots to tailor responses based on individual user characteristics, preferences, and medical history, thereby enhancing user experience and instilling greater trust in ...
doi:10.48175/ijarsct-15357
fatcat:wnd7skm3wbdezh3iznu3gvizfu
User Modeling and User Profiling: A Comprehensive Survey
[article]
2024
arXiv
pre-print
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2024 pre-print arXiv:2402.09660v1 fatcat:7aemn6kin5cofeezdpyakv6n3i
The integration of artificial intelligence (AI) into daily life, particularly through information retrieval and recommender systems, has necessitated advanced user modeling and profiling techniques to ...
This survey serves as a comprehensive resource for researchers and practitioners, offering insights into the evolution of user modeling and profiling and guiding the development of more personalized, ethical ...
search by incorporating multi-granular user feedback, both positive and negative, to accurately model the user's current search intention.Other works can be seen inDu et al. [2016],, and. ...
arXiv:2402.09660v2
fatcat:whg4th5wrzbl7a6asfalo2twze
New trends on exploratory methods for data analytics
2017
Proceedings of the VLDB Endowment
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Data usually comes in a plethora of formats and dimensions, rendering the exploration and information extraction processes cumbersome. ...
An exploratory query should be simple enough to avoid complicate declarative languages (such as SQL) and mechanisms, and at the same time retain the flexibility and expressiveness of such languages. ...
We will discuss the following major challenges. • Adaptivity: current data management technologies and systems do not take into account individual user preferences, and tend to optimize certain kind of ...
doi:10.14778/3137765.3137824
fatcat:unfsqox5jjb2lhd7eur764uy3m
APPLICATION OF MULTI-CRITERIA ANALYSIS BASED ON INDIVIDUAL PSYCHOLOGICAL PROFILE FOR RECOMMENDER SYSTEMS
2016
Computer Science
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This paper presents a novel approach for user classification exploiting multicriteria analysis. This method is based on measuring the distance between an observation and its respective Pareto front. ...
The obtained results show that the combination of the standard KNN classification and the distance from Pareto fronts gives satisfactory classification accuracy -higher than the accuracy obtained for each ...
Moreover, multi-criteria decision-making methods have also been applied in Internet commerce [11] , evaluating the quality of articles in Wikipedia [23] , and optimizing multicast communication [27] ...
doi:10.7494/csci.2016.17.4.503
fatcat:5dvxlq6qtjfupl6de5hgtqijny
A Pervasive Mobile Assistance System for Health and Fitness Scenarios
2014
2014 47th Hawaii International Conference on System Sciences
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The approach covers specific route characteristics, its impact on the user and the user's personal preferences. ...
As motivation is a key success factor in this phase, personal interests of the user have to be considered. ...
The work was funded by the Federal Ministry for Education and Research in Germany (ref. nos. 01IS09020D & 1IS11034D) . ...
doi:10.1109/hicss.2014.362
dblp:conf/hicss/EmrichTLKWL14
fatcat:wvaioq3n4vayxnx422a3yx6fpm
Osiris: accessible and reproducible phylogenetic and phylogenomic analyses within the Galaxy workflow management system
2014
BMC Bioinformatics
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Osiris and Galaxy provide a sharable, standardized, modular user interface, and the ability to easily create complex workflows using a graphical interface. ...
Phylogenetic tools and 'tree-thinking' approaches increasingly permeate all biological research. ...
Acknowledgements We acknowledge support from the Center for Scientific Computing at the CNSI and MRL: an NSF MRSEC (DMR-1121053) and NSF CNS-0960316. ...
doi:10.1186/1471-2105-15-230
pmid:24990571
pmcid:PMC4227113
fatcat:stzllhl2zzh3znlpinrafnwxea
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