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[PDF] Top 20 Incorporating Metadata into Content Based User Embeddings

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Incorporating Metadata into Content Based User Embeddings

Incorporating Metadata into Content Based User Embeddings

... into user representations is a challenge we address in this ...for user embeddings, there is cost in adapt- ing any particular model to a multiview ...text content, such as the popular ... See full document

5

Interoperability between Multimedia Collections for Content and Metadata Based Searching

Interoperability between Multimedia Collections for Content and Metadata Based Searching

... Some of the images in the collection are very large (up to 800 Mbytes) and also very high resolution (20 pels/mm) demanding special purpose algorithms for effective handling. We use a Java applet viewer [14] to browse ... See full document

16

Optimising metadata to make high-value content more accessible to Google users

Optimising metadata to make high-value content more accessible to Google users

... for content updating automatically generate accurate, optimised and exported ...GDL content would appear high in Google search results shortly after publication, and before there were any external links to ... See full document

21

Automatic Metadata Mining from Multilingual Enterprise Content

Automatic Metadata Mining from Multilingual Enterprise Content

... rich metadata, such as metadata about structural relationships, subject/concept relations between documents and cognitive metadata about documents ...rich metadata is not ...cognitive ... See full document

28

System Construction by Content-Based Classification on Metadata by Classification Adaptive Policy Prediction

System Construction by Content-Based Classification on Metadata by Classification Adaptive Policy Prediction

... With the incrementing volume of images users share through convivial sites, maintaining privacy has become a major quandary, as demonstrated by a recent wave of publicized incidents where users inadvertently shared ... See full document

6

Feature Based Extraction of Content Delivery with User Intelligence

Feature Based Extraction of Content Delivery with User Intelligence

... KB. Content suppliers adaptably form dynamic parts into a to a great degree custom-made context, such as the web pages of Tencent web page are adaptably made for individuals in step with their reference and time ... See full document

8

Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content Measurement

Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content Measurement

... context-based embeddings, statis- tics of word occurrences should be considered, which based on the assumption that a embedding with more contextual information is supposed to have higher quality, ... See full document

7

Context Enabled Query and Minimalist Metadata Visualization: A Context Bound Approach for User and Content

Context Enabled Query and Minimalist Metadata Visualization: A Context Bound Approach for User and Content

... capable of performing to describe what resources are and what they are about, and organizing those resources according to controllable criteria, allowing resources to be found by relevant criteria and providing digital ... See full document

7

Intelligent Web Information Retrieval based on User Navigational Patterns

Intelligent Web Information Retrieval based on User Navigational Patterns

... Web Content Mining, Web Usage Mining, and a survey focuses on one of its category, web content mining, is presented in the article ...model incorporating all major ... See full document

7

Exploring Word Embeddings for Unsupervised Textual User Generated Content Normalization

Exploring Word Embeddings for Unsupervised Textual User Generated Content Normalization

... techniques based on rules, lexicons or supervised training requiring large corpora are not scalable nor domain interchangeable, and this makes them unsuitable for normal- izing user-generated content ... See full document

9

Combination of Content Based User Profiling and Local Collective Embeddings for Job Recommendation

Combination of Content Based User Profiling and Local Collective Embeddings for Job Recommendation

... models: Content-based User Pro- filing and Local Collective ...first content-based model contains many hand-tuned parameters and data insights, so it performs fairly well on the task of ... See full document

10

An Integrated Content and Metadata based Retrieval System for Art

An Integrated Content and Metadata based Retrieval System for Art

... use metadata for general purpose retrieval tasks and the se- mantic gap is identified as the main culprit in the field ...and user interfaces for content-based retrieval, but none of these is ... See full document

12

Learning User Embeddings from Emails

Learning User Embeddings from Emails

... Our experiments are conducted using several popular classifiers: logistic regression (LR), av- eraged perception (AP), and support vector ma- chine (SVM) to predict the most likely target fold- ers. According to Dredze ... See full document

6

Impact of Purchase Intention based on User Generated Content

Impact of Purchase Intention based on User Generated Content

... The most important independent variables which have an impact on intention to purchase of the consumers based on user generated content is Trust (.331) followed by Hedonic Use (0.234) and ... See full document

5

Improved Abusive Comment Moderation with User Embeddings

Improved Abusive Comment Moderation with User Embeddings

... News portals often allow their readers to comment on articles, in order to get feedback, engage their readers, and build customer loyalty. User com- ments, however, can also be abusive (e.g., bully- ing, ... See full document

5

Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings

Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings

... d”. Based on our strategy, morpheme- similar words will not only gather closer but have a trend to group near the latent meanings of their morphemes, which makes our embeddings have the advantage to deal ... See full document

11

Content Based Image Retrieval Using Machine Learning Technique

Content Based Image Retrieval Using Machine Learning Technique

... the user question is framed, the query items are acquired by measuring the comparability between the preextracted components of the picture database and the investigated user's ...substance based image ... See full document

6

Leveraging Social Network Data to Alleviate Cold-Start Problem in Recommender Systems

Leveraging Social Network Data to Alleviate Cold-Start Problem in Recommender Systems

... In this module, we develop the Microblogging Feature Selection. Prepare a list of potentially useful microblogging attributes andconstruct the microblogging feature vector for each linked user. Generate ... See full document

8

Content Based Page Ranking by using some Natural Language Processing Techniques

Content Based Page Ranking by using some Natural Language Processing Techniques

... the user will be asked to type a user ...the user query. Consider, the user has type a user query, ‘N’ websites will be extracted related to it, then pre-processing is done such as ... See full document

5

Automating  Fast   and  Secure  Translations  from  Type-I  to  Type-III  Pairing  Schemes

Automating Fast and Secure Translations from Type-I to Type-III Pairing Schemes

... the metadata and the user’s desired optimization goal, the user can proceed with executing Auto- Group+ to begin deriving the dependency graphs for each input ...the user employed in the SDL, thus ... See full document

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