[PDF] Top 20 User and Location Based Collaborative Filtering Recommendation in Social Networks
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User and Location Based Collaborative Filtering Recommendation in Social Networks
... other social and formal ...The social network is a hypothetical develop valuable in the sociologies to think about connections between people, gatherings, associations, or even whole social ...a ... See full document
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MIRS: A MAPREDUCE-BASED ITINERARY RECOMMENDATION SYSTEM IN LOCATION-BASED SOCIAL NETWORKS
... This user can use the proposed system to get an optimized itinerary planned for his ...current location, timing constraints, destination location ...the location history of the user and ... See full document
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Scalable Content Aware Collaborative Filtering for Location Recommendation
... with social and land data information's about the new ...on social networks semantic information can be leveraged to tackle this ...feedback based content aware collaborative ... See full document
5
Survey on Collaborative Filtering, Content based Filtering and Hybrid Recommendation System
... to user according to their requirement. Filtering is used to improved recommendation accuracy in the first recommender ...(primarily collaborative filtering and content ...admitted ... See full document
6
Collaborative Filtering Based Product Recommendation System for Online Social Networks
... In the era of information technology and the Internet, people are getting very much confused with the huge amount of information, which leads to information overload. In this environment, whether it is information of ... See full document
6
Scalable Content- Aware Collaborative Filtering for Location Recommendation
... Location recommendation has been exploited to help people discover interesting places and speed up users’ familiarization with their ...of location-based social networks (LBSNs), ... See full document
5
A Time aware POI Recommendation Method Exploiting User based Collaborative Filtering and Location Popularity
... (POI) recommendation becomes an important research for location-based social networks, since it helps modern citizens to explore new locations in unvisited cites effectively according ... See full document
9
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 ... See full document
6
Whale Optimization based Recommendation System
... or collaborative filtering (ratings-based) as shown in Fig ...a user profile where weights are assigned to each feature based on his past interactions with the system, using machine ... See full document
5
Efficient Recommender System using Collaborative Filtering Technique and Distributed Framework
... the user/patient based on user/patients’ information ...Gender, Location, Budget, Disease, Urgency. Input file is stored on HDFS. Based on input data naive bayes classifier gives the ... See full document
6
Optimized travel recommendation using location based collaborative filtering
... mining user package we tend to introduce ,our travel routes recommendation ...between user package and routes packages, and (2) route optimizing consistent with similar social users’ ...given ... See full document
7
User Data Driven Recommendation for Location
... primarily based product firms arrival, photos sharing created usually throughout travel in existing system, new somebody fix up travel supported anonymous user reviews and ratings (just dial, tripadvisor, ... See full document
5
Evaluation of Accuracy between Item-Based and Matrix Factorization Recommender System
... of collaborative filtering-based recommender ...each user could write a comment (annotation) about each e-mail message and share these annotations with a group of ...A user could then ... See full document
9
KSRS: Keyword-based Service Recommendation System for Shopping using Map-Reduce on Hadoop for Big Data
... Current recommendation methods are classified as content- based, collaborative and hybrid ...preferring Collaborative filtering approaches that recommends services to the user ... See full document
5
Collaborative Filtering for Location Aware and Personalized Web Service Recommendation
... Pearson’s Correlations and Cosine Similarity exist double significant procedures because quantifying define similarity in the middle of clients otherwise things. Their rudimentary thought be present that, double clients ... See full document
5
An Integrated Recommendation System using Graph Database and QGIS
... links, social network, network structure and many ...a recommendation system for shopping, where based on shopping behavior of people the shortest path is suggested to ...so based on online ... See full document
6
Recommending Learning Path of Student using Machine Learning
... The algorithms we compared with Fuzzy Rule Based Classifier are Naive Bayes, Decision Tree which includes J48, CART tree. For the Statistics check the Table. 1. The algorithm we used for the Rule generation JRip ... See full document
5
User preference tree based personalized online learning managment system
... Content-based Filtering: This strategy uses the features of items for ...for recommendation. CBR assumes that if a user likes a certain item, she/he will probably also like similar ...items ... See full document
7
Comparison of User based Collaborative Filtering model for Music Recommendation System with various proximity measures
... This paper proposes a model based solution for music recommendation system. Model is built by using k-means algorithm. Optimal value for K to be considered is found by using elbow method. Various ... See full document
7
Discovering E-commerce Sequential Data Sets and Sequential Patterns for Recommendation
... the user cannot be identified from transactional data without using a sequential pattern mining ...proper recommendation to the user such as: finding the next possible item for user A, if ... See full document
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