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Towards Visualization Recommendation Systems

Manasi Vartak, Silu Huang, Tarique Siddiqui, Samuel Madden, Aditya Parameswaran
2017 SIGMOD record  
In this paper we describe our vision for a new class of visualization systems, namely visualization recommendation systems, that can automatically identify and interactively recommend visualizations relevant  ...  We detail the key requirements and design considerations for a visualization recommendation system.  ...  As a first attempt towards building a full-fledged VISREC system, we built SEEDB [40] (Figure 1 ).  ... 
doi:10.1145/3092931.3092937 fatcat:xllwwkhlmjg6zbc3vhikgd3eoe

Toward a Hybrid Recommender System for E-learning Personnalization Based on Data Mining Techniques

Outmane Bourkoukou, Essaid El Bachari
2018 JOIV: International Journal on Informatics Visualization  
Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms.  ...  Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in  ...  The recommender model is divided into different and independent parts, which are described in detail on the following sub-sections: Dump recommender system module and Intelligent recommender system module  ... 
doi:10.30630/joiv.2.4.158 fatcat:qbclyxa7b5dcjesftp3i7p6a6m

Visually-Aware Personalized Recommendation using Interpretable Image Representations [article]

Charles Packer, Julian McAuley, Arnau Ramisa
2018 arXiv   pre-print
Visually-aware recommender systems use visual signals present in the underlying data to model the visual characteristics of items and users' preferences towards them.  ...  Current state-of-the-art visually-aware recommender systems utilize image features extracted from pre-trained deep convolutional neural networks, however these extremely high-dimensional representations  ...  User personalization We initialize the recommender system for user u by constructing an a nity vector p u , which represents the sensitivity of user u towards each visual dimension. is is done by rst ing  ... 
arXiv:1806.09820v2 fatcat:fau363r73vg3rjyzpqofgyazsy

Visualization of Explanations in Recommender Systems

Mohammed Z. Al-Taie, Seifedine Kadry
2014 Journal of Advanced Management Science  
The focus is on the visualization of explanations in recommender systems.  ...  .  Index Terms-recommender systems, explanations, information visualization, decision making, human computer interaction  ...  Visualization has been used in recommender systems in both offering recommendation to users and explaining why these recommendations were given. Figure 1 .  ... 
doi:10.12720/joams.2.2.140-144 fatcat:gdjmtmeapfhxnoxnatbzfy3ftm

Interactive Visualization of Recommender Systems Data

Christian Richthammer, Johannes Sänger, Günther Pernul
2017 Proceedings of the 4th Workshop on Security in Highly Connected IT Systems - SHCIS '17  
We propose the usage of interactive visualizations for presenting recommendations.  ...  systems data and matching them to suitable visualization and interaction techniques. e ndings are illustrated by means of an example scenario based on a typical real-world se ing.  ...  Research Gap: Visualization of Recommender Systems Data Most recommender systems currently used in practice provide a list of recommended items as the only output. e selection of these items is usually  ... 
doi:10.1145/3099012.3099014 dblp:conf/dais/RichthammerSP17 fatcat:hax5oluhdffgnkk7ihnpvsy25q

Interactive Movie Recommendation Through Latent Semantic Analysis and Storytelling [article]

Kodzo Wegba, Aidong Lu, Yuemeng Li, Wencheng Wang
2017 arXiv   pre-print
Our approaches of latent semantic analysis and interactive recommendation can also be extended to other network-based visualization applications, including various online recommendation systems.  ...  Second, we propose an interactive recommendation approach through a storytelling mechanism for promoting the communication between the user and the recommendation system.  ...  systems, where graph visualizations are often adopted.  ... 
arXiv:1701.00199v1 fatcat:ai4prf3zvvd2bd4jcht7a7kwcq

Towards Recommender Systems for Police Photo Lineup [article]

Ladislav Peska, Hana Trojanova
2017 arXiv   pre-print
In this paper, we describe our work towards using recommender systems for the photo lineup assembling task.  ...  We propose and evaluate two complementary methods for item-based recommendation: one based on the visual descriptors of the deep neural network, the other based on the content-based attributes of persons  ...  The ultimate goal of recommender systems in lineup assembling is to move from recommending candidates towards automated recommendation of assembled lineups.  ... 
arXiv:1707.01389v1 fatcat:4lpobhh5ojagdl3tdhiequpksi

Special Issue Editorial: Big Data for Mobile Services

Jason J. Jung
2018 Journal on spesial topics in mobile networks and applications  
The sixth paper "Towards Social Big Data-based Affective Group Recommendation" studies how to analyze social big data for providing users with affective recommendation.  ...  Moreover, the proposed method outperformed the other group recommender systems with large groups.  ...  The sixth paper "Towards Social Big Data-based Affective Group Recommendation" studies how to analyze social big data for providing users with affective recommendation.  ... 
doi:10.1007/s11036-018-1070-7 fatcat:xmgmgg6w5bcjphrfwqczxpl4ai

Augmenting the driver's view with realtime safety-related information

Peter Fröhlich, Raimund Schatz, Peter Leitner, Matthias Baldauf, Stephan Mantler
2010 Proceedings of the 1st Augmented Human International Conference on - AH '10  
This trend manifests itself in the current evolution of navigation devices towards advanced 3D visualizations as well as real-time telematics services.  ...  We also found that the more complex the safety recommendation the HMI has to communicate, the more drivers perceive a realistic visualization as a valuable support.  ...  This development towards realistic visualization is further strengthened by the advent of augmented reality navigation systems on market-available handheld devices (e.g. [12] ).  ... 
doi:10.1145/1785455.1785466 dblp:conf/aughuman/FrohlichSLBM10 fatcat:pn4sofh6fjawrpkpk2ghva6f2a

VAT-RUBARS: A Visualization and Analytical Tool for a Rule-Based Recommender System to Support Teachers in a Learner-Centered Learning Approach [chapter]

Hazra Imran, Kirstie Ballance, Julia Marques Carvalho Da Silva, Kinshuk, Sabine Graf
2015 Lecture Notes in Educational Technology  
In this chapter, we introduce a visualization and analytical tool for rule-based recommender system (VAT-RUBARS) to provide support to teachers in learner-centered courses.  ...  In our previous research, we proposed a rule-based recommender system that supports learners in a learner-centered approach (Imran et al. A rule-based recommender system to suggest learning tasks.  ...  the rule-based recommender system.  ... 
doi:10.1007/978-981-287-868-7_4 fatcat:kv7ibyxo7rcqdkgv6nt5y42v5q

Visual Recommendations for Network Navigation

Tarik Crnovrsanin, Isaac Liao, Yingcai Wu, Kwan-Liu Ma
2011 Computer graphics forum (Print)  
We present a visual recommendation system to help guide users during navigation of network data.  ...  In addition, graph layout and node visibility are adjusted in real-time to accommodate recommendation display and to reduce visual clutter.  ...  Gotz and Wen [GW09] introduced a system which infers a user's intended visual task based on their behavior, and automatically recommends alternative visualizations to them.  ... 
doi:10.1111/j.1467-8659.2011.01957.x fatcat:4l44nbhxw5bqhiskyla2czopdm

Discovering Similarities for Content-Based Recommendation and Browsing in Multimedia Collections

Taras Lehinevych, Nikolaos Kokkinis-Ntrenis, Giorgos Siantikos, A. Seza Dogruoz, Theodoros Giannakopoulos, Stasinos Konstantopoulos
2014 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems  
This last result is very important and can be either used in (a) a personalized content-based retrieval and recommender system and (b) in a "local" weighted fusion approach, in future research.  ...  Then, three similarity matrices (one for each medium) have been computed based on Gaussian Mixture Models (audio and visual) and Latent Semantic Indexing (text).  ...  When recommending motion pictures in particular, most recommendation systems are based on collaborative filtering.  ... 
doi:10.1109/sitis.2014.98 dblp:conf/sitis/LehinevychKSDGK14 fatcat:5rcveoh3yjdbjcf4phozgzisoi

Deconstructing Categorization in Visualization Recommendation: A Taxonomy and Comparative Study [article]

Doris Jung-Lin Lee, Vidya Setlur, Melanie Tory, Karrie Karahalios, Aditya Parameswaran
2021 arXiv   pre-print
Visualization recommendation (VisRec) systems provide users with suggestions for potentially interesting and useful next steps during exploratory data analysis.  ...  These recommendations are typically organized into categories based on their analytical actions, i.e., operations employed to transition from the current exploration state to a recommended visualization  ...  Supporting a blend of both types of visualization recommendations is a first step towards assisting users with different information preferences and needs.  ... 
arXiv:2102.07070v1 fatcat:y2cxhawgbfdaro42jwvloujrqi

Tourism guide cloud service quality: What actually delights customers?

Shu-Ping Lin, Chen-Lung Yang, Han-Chung Pi, Thao-Minh Ho
2016 SpringerPlus  
Results: The results prove positive impacts of function quality, enjoyment, multiple visual aids, and information quality on customers' satisfaction as well as of enjoyment and satisfaction on use loyalty  ...  Acknowledgements We especially acknowledge peer-reviewers provided valuable recommendations to this paper.  ...  With this result, this study beneficially recommends cloud system providers and tourism managers to take multiple visual aids into deeper account once aiming to capture tourists' satisfaction in using  ... 
doi:10.1186/s40064-016-3345-4 pmid:27757379 pmcid:PMC5050176 fatcat:nxdxzdmijnclzapc4ff3olghyi

Virtual Reality Usability and Accessibility for Cultural Heritage Practices: Challenges Mapping and Recommendations

Hwei Teeng Chong, Chen Kim Lim, Minhaz Farid Ahmed, Kian Lam Tan, Mazlin Bin Mokhtar
2021 Electronics  
This mapping is then used to propose 58 recommendations to improve the usability and accessibility of VR in CH that are categorized in three different recommendation groups namely, discovery and planning  ...  We identified 45 challenges that are mapped into five problem groups: system design, development process, technology, assessment process and knowledge transfer.  ...  This section also recommends various design development approaches towards improving visualization and implementation studies as comprehending the visual rendering system implementation can divert users  ... 
doi:10.3390/electronics10121430 fatcat:m3z4gagy5vdkjajmp5a7lwchkm
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