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Content-Based and Collaborative Filtering

Generating Quality Items Recommendation by Fusing Content based and Collaborative filtering

Generating Quality Items Recommendation by Fusing Content based and Collaborative filtering

... The collaborative filtering and content based filtering are few prominent ...used collaborative filtering on items’ categories and finds items interestingness, later they ...

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Hybrid Content Based Collaborative Filtering Music Recommendations

Hybrid Content Based Collaborative Filtering Music Recommendations

... Although content based and collaborative filtering methods are capable of producing good results, hybrid recommendation systems help to solve many of the disadvantages of both of ...the ...

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Implementation of Item and Content based Collaborative Filtering Techniques based on Ratings Average for Recommender Systems

Implementation of Item and Content based Collaborative Filtering Techniques based on Ratings Average for Recommender Systems

... Item based and Content based collaborative filtering techniques were successfully implemented on ...Item based considers other users aspects also into its predictions while ...

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Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System

Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System

... Collaborative filtering is most extensively used approach to design recommender ...system. Collaborative Filtering (CF) methods play an significant role in the recommendation process, although ...

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Battle of the Music Recommender Systems: User-Centered Evaluation of Collaborative Filtering, Content-Based Analysis and Hybrid Systems

Battle of the Music Recommender Systems: User-Centered Evaluation of Collaborative Filtering, Content-Based Analysis and Hybrid Systems

... employs content-based analysis in its ...wholly content-based system is ranked in the number 3 ...stand-alone content based systems do not perform as well as stand-alone ...

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Mitigating Cold Start Problem In A Personalized Recommender System

Mitigating Cold Start Problem In A Personalized Recommender System

... as collaborative filtering techniques. Collaborative filtering methods are classified into memory-based collaborative filtering and model-based collaborative ...

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Vol 15, No 3 (2015)

Vol 15, No 3 (2015)

... users based on the browsing history which may or may not be of user’s interest and also the quality of the recommended items may not be ...with content-based and collaborative filtering ...

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DESIGNING A RECOMMENDER SYSTEM FOR GROUP PREFERENCES

DESIGNING A RECOMMENDER SYSTEM FOR GROUP PREFERENCES

... of content-based and collaborative recommenders, there have been several hybrid approaches proposed that combine the ...for content-boosted collaborative filtering is proposed in ...

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Exploring Approaches Of Recommendation System In Support Of Verdict And Comparison: A Per-sonalized Prospect

Exploring Approaches Of Recommendation System In Support Of Verdict And Comparison: A Per-sonalized Prospect

... like Content Based Filtering, Collaborative Filtering, and Hybrid Filtering with other approaches like Demographic Filtering, Knowledge Based Filtering with ...

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Hybrid Based Recommendation Engine: The Art of Matching Items to User

Hybrid Based Recommendation Engine: The Art of Matching Items to User

... for filtering relevant information, in many fields such as: education, entertainment, restaurant and tourism ...as: collaborative filtering and content-based filtering have some ...

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User preference tree based personalized online learning managment system

User preference tree based personalized online learning managment system

... Content-based Filtering: This strategy uses the features of items for ...items based on the matching of their attributes to the user ...rate based on each individual criterion in ...

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An Implementation of Content Boosted Collaborative Filtering Algorithm

An Implementation of Content Boosted Collaborative Filtering Algorithm

... Collaborative Filtering systems recommend an item based on ratings in a given domain by duly examining the likes or dislikes among the other users likes or ...hand, content-based ...

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A Novel Approach for Smart Shopping using Clustering Based Collaborative Filtering

A Novel Approach for Smart Shopping using Clustering Based Collaborative Filtering

... approaches: Collaborative Filtering (CF) or Content-Based ...Filtering. Collaborative Filtering is the most dominant technique used in RSs that do not need any external ...

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Various Methods of Using Content-Based Filtering Algorithm for Recommender Systems

Various Methods of Using Content-Based Filtering Algorithm for Recommender Systems

... The concept of Recommender Systems or Recommender Engine rise out of the idea of information reuse and steady preferences. It is an idea that doesn't begin with computers and technology. It is an idea that we can find in ...

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A reinforced collaborative filtering approach based on similarity propagation and score predication graph

A reinforced collaborative filtering approach based on similarity propagation and score predication graph

... items’ content, which has been studied in many ...combined content-based recommendation with system- based recommendation to predict and recommend ac- cording to the CCAM ...a ...

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Sub Group Analysis of User Based on Domain Recommendation

Sub Group Analysis of User Based on Domain Recommendation

... Collaborative Filtering (CF) is an effectiveand widely adopted recommendation approach ...from content-based recommender systemswhich rely on the profiles of users and items forpredictions, CF ...

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Taxonomy of Recommender Systems for Educational Data Mining (EDM) Techniques: A Systematic Review

Taxonomy of Recommender Systems for Educational Data Mining (EDM) Techniques: A Systematic Review

... literature based on recommender system ...as content-based, collaborative filtering, hybrid, and knowledge-based recommender ...by content-based recommender system ...

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Recommender Systems: From Achievements to Requirements

Recommender Systems: From Achievements to Requirements

... Recommender Systems were considered important from the research point of view not more than two decades back, yet a lot has been achieved in this particular field. Jie Lu et al. [3] in their work have given detailed ...

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Vol 7, No 11 (2017)

Vol 7, No 11 (2017)

... information filtering system technique that attempts to recommend information items (movies, TV program/show/episode, video on demand, web pages, books, news, music, images, scientific literature ...(the ...

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Improving Customer Behaviour Prediction with the Item2Item model in Recommender Systems

Improving Customer Behaviour Prediction with the Item2Item model in Recommender Systems

... the content-based filtering engine gives us the worst results ...item-based collaborative filtering ...item-based collaborative filtering engine can make a ...

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