公開日:2022/07/14 / 最終更新日:2022/07/14

The MyMedia toolkit was developed to be an extensible software framework for multimedia recommendation, incorporating cutting edge recommender algorithms and metadata enrichment. This C# developed research project makes it easier to study, develop and deploy personalization technology.
Users and implementers of multimedia today face a common problem: how to deal with the “crisis of choice” that exists when very many different forms of multimedia are presented to users. In such circumstances search is not a complete solution, recommendation can improve the user experience. However there are few recommender system solutions that are sufficiently versatile.
The MyMedia software toolkit is the outcome of an international collaboration to develop an extensible software framework for multimedia recommendation, incorporating cutting edge recommender algorithms, metadata enrichment, and software design. It will be tested in field trials under realistic conditions while being made available to the research community. This software provides a structured approach to personalization, as well as reusable reference implementations of popular recommendation and enrichment algorithms.

 

 

 

 

 

 

MyMedia Framework [Updated-2022]

MyMedia [ a research software toolkit for personalization of multimedia information based on user metadata attributes and user behaviour. MyMedia incorporates a library of recommender algorithms that support an extensible back end, based on a customised C# infrastructure. MyMedia is developed in the well known Microsoft Visual Studio 2010 C# Express and has.NET 4.0 support built-in.
MyMedia Framework Technical Overview:
MyMedia uses a client-server model based on web-services. In this model, the client communicates with the back-end and stores its own user profile and item metadata.  The back-end manages the recommendation task and associates the recommendations with the client user profile. A collection of user profiles is used to build up a ‘profile graph’ that is used to target recommendations. The profile graph is used to construct a ‘recommender graph’ that generates recommendations. Recommendations are written to the client object using SOAP messaging and a templated layout and pushed to the client asynchronously.
Data can be presented in a variety of forms, including a list of recommendations, recommender summary page, user content graph, overlays and spreadsheets to accompany multimedia output. MyMedia can import metadata and take care of the transformation from the physical content format to the tag format, while at the same time performing the requisite tasks for multimedia recommendations. MyMedia also provides a framework for generation of metadata and associated data. 
IUROMA Digital Library User Metadata Model:
MyMedia has been designed to support a range of metadata models from individual to shared and federated. Any information describing a user can be captured and made available to a recommender service. Examples of this include: gender, age, occupation, location, education, interests, multimedia item (e.g., artwork, sports, film, etc.), and any numeric or textual value that might be used as a reference index.
User Metadata Creation:
If the user metadata is not already provided by a provider service, MyMedia includes an interface for creation of metadata via a web-based interface. Creation or update of metadata is performed by calling a single MyMedia::Metadata service.
Using MyMedia in Predictive Applications:
MyMedia does not perform the back-end recommendation task. It is designed as a templated framework based on the developer’s own recommender specification (refer to the reference implementation

MyMedia Framework Keygen Full Version For PC [Updated-2022]

MyMedia framework is a client-server based toolkit that supports creation and deployment of personalization technology. It provides a common infrastructure on which the API can be instantiated and modified.
The framework supports two primary modes of operation. First, at run time, MyMedia clients can run through a plug-in architecture to add features to it. Second, the framework supports the development of plug-in frameworks to reuse a new plug-in with existing components, or to reuse the components with an existing plug-in.
A Plug-in framework provides support for many existing components, and leads to a greater modularity. For example, users and developers have more freedom to build personalization technology around a more restricted subset of algorithms.
Concepts:
• MyMedia clients are web-based applications that leverage the framework to deliver personalization in the context of web and mobile devices. The client consumes data services based upon a “service-oriented architecture” for data enrichment and retrieval.
• Data services are based upon a simple syntax to provide the ability to reuse business logic that is not restricted to the current environment.
• Since the framework is not a strict framework in terms of functionality, but rather a framework for easy extensibility and component reusability, there is a high degree of freedom in functionality. This is also reflected in the design of the service layer. The service layer is designed to be completely independent of the client layer and there is no overhead in developing a new client.
• Two primary modes of operation. First, at run time, MyMedia clients can run through a plug-in architecture to add features to it. Second, the framework supports the development of plug-in frameworks to reuse a new plug-in with existing components, or to reuse the components with an existing plug-in.
• The framework supports the creation and deployment of service-based applications and clients.
• The framework provides a client API to create and interact with the framework. The API exposes services that can be used to retrieve and enrich data, and support automatic recommendation services, and data management.
• The client interacts with the API by consuming the services it provides. This allows the client to call the client API independently of the platform on which the client is currently run.
• The MyMedia client API provides support for client-server communication that allows clients to access server-based services through HTTP or WebSockets. This is a common model for communication across platforms.
• The MyMedia framework can be used in
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MyMedia Framework

(source: www.mymediatoolkit.org)
The current state of MyMedia is presented in the slides below. The central idea is that different algorithms and metadata enrichments can be chained in a pipeline to allow the creation of algorithms for specific, realistic scenarios. A similar idea is presented in Practical groupware infrastructures for conferencing, networking and collaboration using multimedia and multimodal interaction Migue et. al, Proceedings of the 10th International Workshop on Multimedia Computing (AMICON 2000), Rhodes, Greece, August 2000.
The processes are simplified using UML sequence diagrams, and made more generically using a mixed-in function system.

A:

1: Take a look at my recommendation engine on SourceForge – it includes movie review recommendation and machine learning using Naive Bayes.

Photosynthesis by rice leaves in response to illumination with different wavelengths.
To test for the effect of different wavelengths on photosynthesis, leaves of rice (Oryza sativa L. cv. IR29) were illuminated with red, blue, and far-red light produced with a blue lamp. The photosynthesis of these leaves was compared to leaves that had been illuminated with white light or far-red light alone. Chlorophyll fluorescence measurements showed a lower photosynthetic efficiency (as Pm) and carboxylation efficiency (Vc) during far-red light compared to white light. Relative rates of electron transport were not altered by different wavelengths, but carboxylation rates were slower during far-red light. Therefore, the difference in photosynthetic rates between far-red and white light was not due to the red:far-red ratio but rather due to the net transfer of electrons to photosystem II (PSII) during far-red light. Starch synthesis was not altered in far-red light compared to other light treatments. However, when red light was used, starch synthesis was inhibited when absorbed light was above 550 nm. Starch synthesis was stimulated in the presence of short-wave blue light (400-500 nm), but far-red light had no effect on this response. Red light is a particularly useful wavelength for application to rice.Official: Dodgers will extend Kuroda’s contract with $25M deal

Kuroda gives up his year of free agency to close the deal (credit: Chris Humphreys)

January 21, 2014, 2:46PM

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What’s New in the?

The MyMedia framework includes a multiplatform C\# framework based on.Net 4 that is incorporated with the following extensions and visualizations:
A. Preference Extraction and Preference Parsing Solution.
With the built in preference extraction and parsing engine in MyMedia, researchers can easily add their own database and use the same preference information for machine learning tasks.
B. Recommender Based Search Solution
MyMedia supports hybrid models for recommender search results to provide personalized recommendations. This allows a single model to be used in both the top results from a user search and also the recommendations for items that are the top recommendations.
C. Metadata Extraction and Parsing Solution.
MyMedia has incorporated a user defined metadata extraction and parsing engine. This is an important feature for any metadata.
D. Visualisation for Performance Analyses
MyMedia provides a visual interface for the user to create performance graphs for machine learning tasks. These can be used for training and testing an algorithm’s performance.
E. Feature Extraction via Short/Long Term Memory with different Representations

Depending on the representation used in the user’s personal history, MyMedia offers two different modes for feature extraction: a Long Term Memory for representations that capture the user’s preferences over a significant length of time and a Short Term Memory for representations that capture the user’s preferences over a very short period of time.
The MyMedia User Guide available in the web is a thorough tutorial that covers all the available features. A more comprehensive user guide, covering both web and console applications, will be available shortly.
Link to the MyMedia Tutorial

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The iSGM project (Cordis is the main partner in the project) won the first prize in the ELSA-ICT Innovation Challenge 2011, hosted by the French Agency for Digital and Interactive Action (ADDA) and CNIL. The goal of the contest was to promote innovative use of ICT in the sectors of work, social life and health. The project My media framework was selected for the Final Round of the best four projects. In this round finalists presented their projects to industrial partners and the media. This contest is very well known because it tends to attract the attention of the media. Hence, the project iSGM has also been well covered by the media.
A. Webcam Supported System: Used for face recognition in the context of computer assisted neurorehabilitation, surveillance and user authentication. Initial steps of this project were made at I3SGM ‘

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System Requirements For MyMedia Framework:

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