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[PDF] Top 20 Improved Keyword Aware Service Recommendation System for Big Data Applications

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Improved Keyword Aware Service Recommendation System for Big Data Applications

Improved Keyword Aware Service Recommendation System for Big Data Applications

... ABSTRACT: Service recommender systems are valuable tools for providing appropriate recommendations to ...yields service recommender systems in Big Data environment ....In keyword ... See full document

7

Improved LSH for privacy aware and robust recommender system with sparse data in edge environment

Improved LSH for privacy aware and robust recommender system with sparse data in edge environment

... new service items that are probably preferred by prospective ...historical service usage data produced in the past, a recommender system can infer the potential user preferences and make ... See full document

11

Smart Service Recommendation System by Applying MapReduce Techniques on Big Data

Smart Service Recommendation System by Applying MapReduce Techniques on Big Data

... Keyword Extraction: In this stage, each review will be transformed into a corresponding keyword set according to the keyword-preference list and domain ...one keyword will be changed into a ... See full document

6

Keyword Based Service Recommendation system for Hotel System using Collaborative Filtering

Keyword Based Service Recommendation system for Hotel System using Collaborative Filtering

... [2]. Big data also brings new opportunities and critical challenges to industry and academia [3] ...most big data applications, the big data tendency also poses heavy ... See full document

5

Characterization of User Inclinations for Service Recommender System in Big Data Applications

Characterization of User Inclinations for Service Recommender System in Big Data Applications

... Video service and Netflix service. The main goal of a recommender system is to suggest unknown items (movies or other entertainment media) by considering the information exchanged by users when ... See full document

8

SOCIAL GROUP RECOMMENDATION SYSTEM BASED ON BIG DATA

SOCIAL GROUP RECOMMENDATION SYSTEM BASED ON BIG DATA

... This system is going to be developed as a creative website in which Group Recommendation is a main ...Group Recommendation is based on behaviour similarity of the user and emotional ...centric ... See full document

5

Keyword Aware Representative Travel Route Recommendation with Places of Interest

Keyword Aware Representative Travel Route Recommendation with Places of Interest

... check-in data with their ...check-in data are in fact a travel route with some photos and tag ...proposed system, we focus on trip planning and intend to discover travel experiences from shared ... See full document

8

Optimal keyword search for recommender system in big data application

Optimal keyword search for recommender system in big data application

... Recommender system involves in this process and implements as service. Service recommender system gives additional information to the user but if information grows then these process become a ... See full document

5

Improved Framework Of Location Aware Keyword Query Suggestion (LKS) In Geo-Based Social Applications

Improved Framework Of Location Aware Keyword Query Suggestion (LKS) In Geo-Based Social Applications

... — Keyword suggestion in web search helps user to access relevant information without having to known how to precisely express their queries Exiting keyword suggestion techniques do not consider the location ... See full document

10

Hospital Queueing Recommendation System Using Spark Streaming For Big Data

Hospital Queueing Recommendation System Using Spark Streaming For Big Data

... Different improved classification and regression tree ...Varied recommendation algorithms are bestowed and applied in connected ...a keyword-aware service recommendation ... See full document

7

An 
		efficient personalized hotel recommendation system for big data 
		applications

An efficient personalized hotel recommendation system for big data applications

... of Service Recommender Systems that shows Top-K Results are shown with Paginations with which a client can explore Back and Forth of the Result ...the Keyword Candidate List and Candidate Services ... See full document

6

KSRS: Keyword-based Service Recommendation System for Shopping using Map-Reduce on Hadoop for Big Data

KSRS: Keyword-based Service Recommendation System for Shopping using Map-Reduce on Hadoop for Big Data

... Provide Recommendation to user using User-Based Collaborative filtering the Reviews of previous users as well as product details for all services available at that shops sites are handled by the admin of that ... See full document

5

Collaborative Filtering Approach of Keyword Aware Service Recommendation for Big Data Applications on Map Reduce

Collaborative Filtering Approach of Keyword Aware Service Recommendation for Big Data Applications on Map Reduce

... on-line data has grown quickly, yielding the Big Data analysis as a drawback for service recommender ...existing service recommender systems present an equivalent ratings and rankings ... See full document

7

Decision Making System for User Behaviour Analysis using Prediction Algorithm

Decision Making System for User Behaviour Analysis using Prediction Algorithm

... making system is need of various organizations which has the predictive analysis mechanism for decision making activities of various organizations to improve their performance about the service they ... See full document

6

Big Data Analytics Applications: A Comprehensive Review

Big Data Analytics Applications: A Comprehensive Review

... that big data has become a big game changer in most, if not all, types of modern industries over the last few ...As big data continues to permeate our day-to- day lives, there has been ... See full document

6

Evaluating and Enhancing Efficiency of Recommendation System using Big Data Analytics

Evaluating and Enhancing Efficiency of Recommendation System using Big Data Analytics

... making recommendation system, as it filters useful information from huge data ...Recommender System is of two types, Content based that recommends items on basis of the features of item, and ... See full document

12

AN EFFICIENT TRAFFIC-AWARE SEPARATION AND AGGRIGATION USING MAPREDUCE FOR BIG DATA APPLICATIONS

AN EFFICIENT TRAFFIC-AWARE SEPARATION AND AGGRIGATION USING MAPREDUCE FOR BIG DATA APPLICATIONS

... [16] H.-C. Yang, A. Dasdan, R.-L. Hsiao, and D. S. Parker, “Mapreduce-merge: Simplified relational data processing on large clusters,” in Proc. ACM SIGMOD Int. Conf. Manage. Data, 2007, pp. 1029–1040. [17] ... See full document

7

Traffic Aware Partition and Aggregation for Big Data Applications in Map Reduce

Traffic Aware Partition and Aggregation for Big Data Applications in Map Reduce

... intermediate data partition and aggregation in MapReduce to minimize network traffic cost for big data ...to big data, we design a distributed algorithm to solve the problem on multiple ... See full document

7

Scalable Architecture for Personalized Healthcare Service Recommendation Using Big Data Lake

Scalable Architecture for Personalized Healthcare Service Recommendation Using Big Data Lake

... traditional data warehouse (DW) technique is no longer suitable for health- care analytics due to its schema on write nature and inability to handle data ...effective data lake system was ... See full document

15

Big Data Applications, Software and System Architectures

Big Data Applications, Software and System Architectures

... v. Archive/Batched/Streaming: Streaming is incremental update of datasets with new algorithms to achieve real-time response (G7); Before data gets to compute system, there is often an initial data ... See full document

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