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Personalized Recommendation

A Method of Personalized Recommendation Based on Differential Privacy

A Method of Personalized Recommendation Based on Differential Privacy

... the recommendation system, which will pose a great threat to the privacy of the ...Traditional recommendation system built on a collaborative filtering approach; it is difficult to provide a strict privacy ...

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A Novel Personalized Recommendation Algorithm for the Metrology Industry with Massive Sparse Data

A Novel Personalized Recommendation Algorithm for the Metrology Industry with Massive Sparse Data

... a personalized recommendation method based on the industry information and service categories of customers in the measurement ...the recommendation accuracy rate in the metrology industry with sparse ...

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Dynamic Personalized Recommendation Algorithm on Sparse Data

Dynamic Personalized Recommendation Algorithm on Sparse Data

... platform. Recommendation systems are very important in the fields of E-commerce and other Web-based ...high-quality recommendation on sparse ...dynamic personalized recommendation algorithm is ...

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A Personalized Recommendation Method Based on Collaborative Filtering Algorithm

A Personalized Recommendation Method Based on Collaborative Filtering Algorithm

... e-commerce recommendation system, has played a significant role in practical ...filtering recommendation technology theoretically, aiming at improving the accuracy of personalized ...filtering ...

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Exploiting Semantic Web Technology for Personalized Recommendation System

Exploiting Semantic Web Technology for Personalized Recommendation System

... Semantic Recommendation system which uses Page rank based on links between Web pages, to compute relevance to user search ...document. Recommendation system has to find the relevant Web pages and prioritize ...

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Personalized Recommendation of Tourist Attractions based on LBSN

Personalized Recommendation of Tourist Attractions based on LBSN

... of personalized recommendation of tourist ...of recommendation and single type of attractions ...users’ recommendation value and the popularity of attractions based on user ...of ...

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Research on the Personalized Recommendation Algorithm for Hairdressers

Research on the Personalized Recommendation Algorithm for Hairdressers

... In recent years, many approaches for building recommender systems have been developed. But few people focus on the hairdressing industry. Hairdressing is a highly personalized industry. A hairdresser’s can build ...

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Personalized Recommendation Of Educational Resources In A MOOC Using A Combination Of Collaborative Filtering And Semantic Content Analysis

Personalized Recommendation Of Educational Resources In A MOOC Using A Combination Of Collaborative Filtering And Semantic Content Analysis

... a personalized recommendation system combining learner profiling, knowledge assessment, learning style and trace analysis techniques to improve the learning process by recommending educational resources ...

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PREA: Personalized Recommendation Algorithms Toolkit

PREA: Personalized Recommendation Algorithms Toolkit

... (Personalized Recommendation Algorithms Toolkit), implementing a wide variety of recommendation systems ...state-of-the-art recommendation algorithms as well as most traditional ...

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Exploiting Semantic Web Technology for Personalized Recommendation System

Exploiting Semantic Web Technology for Personalized Recommendation System

... Semantic Recommendation system which uses Page rank based on links between Web pages, to compute relevance to user search ...document. Recommendation system has to find the relevant Web pages and prioritize ...

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A Collaborative Approach for Web Personalized Recommendation System

A Collaborative Approach for Web Personalized Recommendation System

... In this simulation resource recommendation system, the way to get the preference of the resources is by means that the user takes some time to grade on the used resource. This method in obtaining the user‟s ...

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Personalized recommendation for cold start users

Personalized recommendation for cold start users

... size. Another metrics used for evaluation of different shilling attacks is the filler size. The filler size is the set of items which are voted in the attacker’s profile. The most effective attack models are derived by ...

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Personalized Recommendation of User Comments via Factor Models

Personalized Recommendation of User Comments via Factor Models

... years. For instance, Billsus and Pazanni (2007) de- scribes an approach to build user profile models for adaptive personalization in the context of mobile content access. Their approach is based on a hybrid model that ...

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The Latest Recommended System using Collaborative filter for Travel Packages

The Latest Recommended System using Collaborative filter for Travel Packages

... There is need to understand the different sets of users interest to provide a felicitous package. While recommending the peregrinate package different topics and cognate information is analyzed. Then develop the TAST ...

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Personalized fitting recommendation based on support vector regression

Personalized fitting recommendation based on support vector regression

... There are many efforts to make in order to improve the personalized recommendation system [23, 24]. Tagging is an important information for personalized recommendation. Zhang et al. proposed ...

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Healthone: Personalized Healthcare Recommendation System

Healthone: Personalized Healthcare Recommendation System

... Therefore, personalized intelligent smart health care is attracting more attention in an aging ...design personalized healthcare support system based on machine learning for user-oriented health data ...

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A Web Based Recommendation System for Personal Learning Environments Using Hybrid Collaborative Filtering Approach

A Web Based Recommendation System for Personal Learning Environments Using Hybrid Collaborative Filtering Approach

... The personalized recommendation system for e-learning applications is developed here by implementing Improved Neighborhood- based Collaborative filtering and Hybrid Genetic algorithm with Particle swarm ...

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Improved Network Based Recommendation Algorithm

Improved Network Based Recommendation Algorithm

... designing recommendation algorithms on bipartite ...on recommendation results, while Yuan Guan makes each user have his/her own personalized hybrid parameter instead of all users in the system ...

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Personalized POI Travel Recommendation from Social Media

Personalized POI Travel Recommendation from Social Media

... based recommendation and journey planning are challenging tasks because of various interest preferences and trip restrictions such as limitation of time, source and destination points for each ...tour ...

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A Literature Review of Personalized Learning Algorithm

A Literature Review of Personalized Learning Algorithm

... of personalized learning algorithm research from two aspects of the recommendation system and data ...that recommendation system ignores the information contained in user ...to personalized ...

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