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Flexible recommendations over rich data
2008
Proceedings of the 2008 ACM conference on Recommender systems - RecSys '08
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workflows over relational data. ...
We describe how flexible recommendations can be expressed over a relational database and we present our prototype system that allows defining and executing different, fully-parameterized, recommendation ...
can be dynamically defined over rich data. ...
doi:10.1145/1454008.1454041
dblp:conf/recsys/KoutrikaIBG08
fatcat:zp5v2qnvlbfqzjrq4u2nqmerqy
BAYESIAN MODELS FOR SPATIO-TEMPORAL ASSESSMENT OF DISEASE
2015
Bulletin of the Australian Mathematical Society
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We focus on a rich and flexible class of Bayesian spatial and spatio-temporal models. This research endeavours to fulfil the aim by addressing the following objectives. ...
Epidemiological data are often characterised by a spatial and/or temporal structure. ...
We focus on a rich and flexible class of Bayesian spatial and spatio-temporal models. This research endeavours to fulfil the aim by addressing the following objectives. ...
doi:10.1017/s000497271500012x
fatcat:uegwsxepkbh4bgspm6fwyuf2d4
CourseRank
2009
Proceedings of the 35th SIGMOD international conference on Management of data - SIGMOD '09
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Flexible recommendations. ...
In CourseRank, one of the great challenges is interacting with rich data. ...
doi:10.1145/1559845.1559994
dblp:conf/sigmod/BercovitzKKLZG09
fatcat:bl2muyel7vcm3dxv7s37h3f2we
Social networks and discovery in the enterprise (SaND)
2009
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval - SIGIR '09
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Its integrated index supports combining content-based analysis and people-based analysis over a rich data foundation. ...
Similarly, content that is related to people that are "socially related" to the searcher is recommended as valuable interesting data. ...
doi:10.1145/1571941.1572156
dblp:conf/sigir/RonenSUUYZCGHO09
fatcat:u7taloxy35ed7ifhc4ymf64c7u
Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning
2003
Conservation Biology
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Also shown are number of fully flexible sites (sites) and number of goal-essential species (species) captured for each reserve set. ...
In our case, reliable plot or census data were not available over a large number of sites in the Atlantic Forests, and we therefore needed to generate absence data. ...
Compared with presence/absence data, efforts to maximize species richness resulted in different sites being selected by probabilistic occurrence data. ...
doi:10.1111/j.1523-1739.2003.00233.x
fatcat:bvhe4qbsnzc6rlypv6x3e7xbpm
Supporting FAIR Data Principles with Fedora
2018
Liber Quarterly: The Journal of European Research Libraries
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Fedora is a flexible, extensible, open source repository platform for managing, preserving, and providing access to digital content. ...
As both a project and a community, Fedora has been increasingly focused on research data management, making it wellsuited to supporting FAIR data principles as a repository platform. ...
This flexibility is primarily based on linked data. ...
doi:10.18352/lq.10247
fatcat:eaenjw7ngnazzabbjgtwtld26y
Social Systems: Can we Do More Than Just Poke Friends?
[article]
2009
arXiv
pre-print
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Flexible Recommendations Most recommendation systems have several limitations. ...
A given recommendation approach can be expressed declaratively as a high-level workflow over structured data. ...
arXiv:0909.1774v1
fatcat:tr7komxhtbb2xbagvmetpd6thy
Vote Goat
2018
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18
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The main intents span search and recommendation tasks including: rating movies, receiving recommendations, retrieval over movie metadata, and viewing crowdsourced statistics. ...
The demonstration provides an interactive movie recommendation system using a speech-based natural language interface. ...
For data storage, MongoDB is used to store movie and user data due to its flexibility and use of JSON as a native format. ...
doi:10.1145/3209978.3210168
dblp:conf/sigir/DaltonAM18
fatcat:hsijellginhozf6y4qxp3i3kzm
Applications of Data Mining to Electronic Commerce
[article]
2000
arXiv
pre-print
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The large model spaces corresponding to rich data demand many training instances to build reliable models. 3. Controlled and reliable data collection. ...
Data with rich descriptions. For example, wide customer records with many potentially useful fields allow data mining algorithms to search beyond obvious correlations. 2. A large volume of data. ...
Seldom are they they all present in one data mining application. 1. Data with rich descriptions. ...
arXiv:cs/0010006v1
fatcat:p5wswkmhzvg5vbubp5x3ps22rq
Environmental Justice
2020
Zenodo
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Scientific data is backed by ethical imperatives. Gross Domestic Product (GDP) gains and losses of a warming globe are captured to be distributed unequal around the world. ...
All these recommendations are aimed at sharing the burden but also the benefits of climate change within society in an economically efficient, legally equitable and practically feasible way now and also ...
Legal disputes over contract violations. ...
doi:10.5281/zenodo.3752269
fatcat:o24exi4dujgvhjrkv3rotm3n64
Methods for eliciting user experience insights in workplace studies: spatial walkthroughs, experience curve mapping and card sorting
2021
Journal of Corporate Real Estate
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Although these methods provide rich data, the understanding of office users, their use situations and finding more fitting workplace designs can benefit from deeper user experience insights. ...
Design/methodology/approach Three methods and their variants were tested in studies of user experience in flexible offices: spatial walkthroughs, experience curve mapping and card sorting. ...
This research aims to understand how these artefacts and spaces might be (re-)designed to improve the user experience (UX) at flexible offices. ...
doi:10.1108/jcre-12-2020-0069
fatcat:ew6d3vq3wrg4zejk5wnamex6eq
Applications of Data Mining to Electronic Commerce
[chapter]
2001
Applications of Data Mining to Electronic Commerce
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Seldom are they they all present in one data-mining application. 1. Data with rich descriptions. ...
For example, association-rule mining produced over one million rules from these data. ...
doi:10.1007/978-1-4615-1627-9_1
fatcat:ctnciju52jhitkfyksrujrplnq
On Effective Graphic Communication of Health Inequality: Considerations for Health Policy Researchers
2017
Milbank Quarterly
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Methods: Using composite review methods, we selected the prevailing recommendations for improving graphs in scientific reporting. ...
Dot charts are a flexible and versatile way to display information about health inequality. r Consistent with the health risk communication literature, the captions accompanying health inequality graphs ...
Findings: Many disciplines offer commonsense recommendations for visually presenting quantitative data. ...
doi:10.1111/1468-0009.12300
pmid:29226437
fatcat:anhmnk6jhzda3av2gg5prtdb3e
Communication Technologies in a Remote Workplace
2021
Baltic Journal of Modern Computing
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Recommendations for company managers to improve communication efficiency are developed and provided. ...
The main goal of this study is to create a effective communication in digital workplace model that includes factors for effective communication in forced distancing conditions, as well as to provide recommendations ...
It connects people all over the world, gives more flexibility and increases speed of work, while the messages people convey can be losing meaning and context. ...
doi:10.22364/bjmc.2021.9.2.05
fatcat:jidutxsi5zf57mrpgtvy2qbn6q
Rich Context: providing support for cross-agency data stewardship, and measuring dataset impact on public policy
[article]
2020
Figshare
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This talk explores the Rich Context project based in the Coleridge Initiative at NYU Wagner, a public-private partnership, which leverages advanced machine learning to support cross-agency data stewardship ...
the German central bank.The Rich Context project intakes metadata from the agencies involved with ADRF to build a knowledge graph of metadata about dataset usage. ...
• Allow flexibility for metadata representation
• Measure metadata quality
• Prepare features for ML models
• Build recommenders for experts, topics, tools, etc. ...
doi:10.6084/m9.figshare.11573343.v1
fatcat:u3pzffif6jb2jfxwj5y7cp4b7i
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