[PDF] Top 20 An Enhanced Memory-Based Collaborative Filtering Approach for Context-Aware Recommendation
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An Enhanced Memory-Based Collaborative Filtering Approach for Context-Aware Recommendation
... proposed context-aware approach, we also implemented a mobile multimedia recommendation system on a cloud platform to show that our approach can be used to develop a real-world ... See full document
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Scalable Content Aware Collaborative Filtering for Location Recommendation
... Location Based Rating Prediction (LBRP) is a general category of search techniques aiming at providing better search results, which are tailored for individual user ...click-log based mostly strategies ar ... See full document
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Development of Context Based Collaborative Filtering System for Recommendation
... current recommendation system, as Context based filtering approach has flexibility in the implementation with in commercial and personal web which will provide effective techniques for ... See full document
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A review of Content and Collaborative filtering approaches on Movielens Data
... information filtering tool in online social network. Collaborative filtering recommendations are based on similarity of users or items, all data should be compared with each other in order to ... See full document
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Typicality-Based Collaborative Filtering Recommendation System
... the recommendation system based on collaborative filtering is applied to the simulation resource management system, which can recommend the most relative simulation resource to the user ... See full document
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Enhanced Job Recommendation System
... 2) Collaborative Filtering Recommendation (CFR): Collaborative filtering recommendation, known as the user- to-user correlation method, finds similar users who have the same ... See full document
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Collaborative Filtering Approach of Keyword Aware Service Recommendation for Big Data Applications on Map Reduce
... proposed recommendation system uses, user based collaborative filtering approach to generate appropriate ...service recommendation list to the user as per the user ... See full document
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Sub Group Analysis of User Based on Domain Recommendation
... for collaborative filtering identifythe similarity between two users by comparingtheir ratings on a set of ...our approach, clustersgenerated from the training data provide the basis fordata ... See full document
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Hybrid Based Recommendation Engine: The Art of Matching Items to User
... Content-based filtering-Recommend items similar to the items the user has preferred in the ...2. Collaborative filtering- Recommend items the users with similar tastes preferred in the ... See full document
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User preference tree based personalized online learning managment system
... two recommendation approaches by integrating a collaborative filtering engine, which works with ratings that users provide for learning resources, with an inference rule engine that is mining ... See full document
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KSRS: Keyword-based Service Recommendation System for Shopping using Map-Reduce on Hadoop for Big Data
... day’s recommendation system becoming important research area so several research communities contributed their work to ...several recommendation systems developed in industries and ...implement ... See full document
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Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System
... requirement. Filtering is used to improved recommendation accuracy in the first recommender ...most memory-based methods and algorithms were formulated and optimized under some circumstance ... See full document
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Query Recommendation by using Collaborative Filtering Approach
... items based on in what manner the lists and items appear in the top-k ...the Context Similarity Model, to order or rank query ...a collaborative filtering technique is used. As for a ... See full document
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Session Aware Music Recommendation System with User based and Item based Collaborative Filtering Method
... Collaborative filtering approaches have been popular for both researchers and practitioners alike evidenced by the abundance of publications and actual implementation ...items based on the ... See full document
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Enhancing User Profile By Combining User And Item Based Collaborative Filtering
... in recommendation systems becoming a popular choice for organizations and researchers ...clustering based recommendation system model was proposed by Katarya et ...search based K- Means ... See full document
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Recommender Systems: From Achievements to Requirements
... systems, recommendation approaches and algorithms developed so far ...common recommendation approaches of collaborative filtering, content based filtering and hybrid recommender ... See full document
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A Time aware POI Recommendation Method Exploiting User based Collaborative Filtering and Location Popularity
... geography aware POI recommendation methods, a day is split into 24 equal time slots by hour according to the check-in records, and POIs are recommended to users at target time using matrix factorization ... See full document
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A reinforced collaborative filtering approach based on similarity propagation and score predication graph
... on collaborative filtering approaches which can be divided into two categories: neighborhood-based and ...Neighborhood- based approaches, further divided into user-based [6] and ... See full document
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Recommendation System Based On Clustering and Collaborative Filtering
... Cluster-based recommendation is best thought of as a variant on user-based ...this approach is that recommendation is fast at runtime because almost everything is pre ...model- ... See full document
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RECOMMENDATION ALGORITHM: ITEM-BASED COLLABORATIVE FILTERING
... Most recommendation algorithms start by finding a set of customers whose purchased and rated items overlap the user’s purchased and rated ...are collaborative filtering and cluster ...item-to-item ... See full document
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