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Semantic itinerary recommender system and methods

Semantic Recommender System

Semantic Recommender System

... information system field resulting in what is known as Search ...a recommender system for any online store turns into a decisive task that helps customers find what they could not have found without ...

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Wanderlust : A Personalised Travel Itinerary Recommender

Wanderlust : A Personalised Travel Itinerary Recommender

... existing system for travel recommendation has certain flaws due to which it cannot meet user’s personal ...travel system uses location-based collaborative filtering method in order to recommend the POIs and ...

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E-commerce Shopping System with Semantic Search and Recommender System

E-commerce Shopping System with Semantic Search and Recommender System

... Proposed Semantic search work-flow 3.3 Recommender System We used Amazon rating data for the recommender system using content-based ...a recommender system based on the ...

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Recommender System Methods and Feedback Mechanisms: A Survey

Recommender System Methods and Feedback Mechanisms: A Survey

... rating of 4(out of 5).Each user of user space can be defined by using profile which consider various user characteristics such as age,gender,marital status, occupation. Similarly each item in the item space can be ...

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From Social Network to Semantic Social Network in Recommender System

From Social Network to Semantic Social Network in Recommender System

... lens, recommender systems are creating unprecedented opportunities to help people browsing the web when looking for relevant information, and making ...these recommender systems are classified in three ...

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Anatomy of a Semantic Web-enabled Knowledge-based Recommender System

Anatomy of a Semantic Web-enabled Knowledge-based Recommender System

... “provenance” descriptions 15 [21]. With the arrival of massive amounts of Seman- tic Web data, information about the origin of that data becomes an important factor in telling apart reliable data from low-quality ...

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Recommender Systems for the Semantic Web

Recommender Systems for the Semantic Web

... a system shouldn’t become stable, and that the classifi- cation of the same items to different classes, at different times, may be deemed correct, something that would be unacceptable in most machine learning ...

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A Movie Recommender System using Ontology Based Semantic Similarity Measure

A Movie Recommender System using Ontology Based Semantic Similarity Measure

... domain. Recommender systems play a vital role in dealing with information overload ...The recommender systems filter the huge information on the Internet to generate limited and personalized information to ...

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Semantic aware EWC Code Recommender System for Industrial Symbiosis Marketplace

Semantic aware EWC Code Recommender System for Industrial Symbiosis Marketplace

... A semantic vector is constructed for each sentence, which contains the word similarity value assigned to each word for every other word from the second sentence in ...of semantic vector construction also ...

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Semantic data mining and linked data for a recommender system in the AEC industry

Semantic data mining and linked data for a recommender system in the AEC industry

... adding semantic annotations to the data and use of do- main ...how semantic web technologies can be used in data mining and KDD is given in Ristoski & Paulheim ...

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HealthRecSys: A semantic content-based recommender system to complement health videos

HealthRecSys: A semantic content-based recommender system to complement health videos

... of recommender systems that pro- vide recommendations for related ...recommendation methods that use semantic-based technologies to enhance online health content recommender ...

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Semantic recommender system for Malaysian tourism industry

/ Tirad Mohammed Aref Almalahmeh

Semantic recommender system for Malaysian tourism industry / Tirad Mohammed Aref Almalahmeh

... include semantic descriptions of users and products ...the Semantic Web, which is a set of shared, explicit and formal concepts used to organize and classify contents of the domain (which in this case is ...

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Empirical study of the behavior of several Recommender System methods on SAPO Videos

Empirical study of the behavior of several Recommender System methods on SAPO Videos

... Alternating least squares (ALS)( Koren et al. , 2009 ). The Scalability problems appear since the computational complexity of these methods grows 12 linearly with the number of users and items. This has a huge ...

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Techniques of Recommender System

Techniques of Recommender System

... of Recommender System Harleen kaur, Gourav Bathla Abstract – The term Recommender system is described as any organization that provides personalized suggestions as a result and it effects the ...

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Whiskey Recommender System

Whiskey Recommender System

... State-of-the-art Methods According to the IEEE journal titled “Multi-Criteria Review-Based Recommender System-The State of the Art” ​ 4​ , the state-of-the-art method that has been studied recently ...

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Recommender System: Review

Recommender System: Review

... is Recommender System. It is the intelligent system that basically investigate the dataset present in existing system and based on which it will give some suggestions to the user regarding ...

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Review: Recommender System

Review: Recommender System

... thought recommender system came into existence. Recommender system is a dynamic concept which is expanding as an influential research area and has its applications in various fields like ...

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Diversity in Recommender System

Diversity in Recommender System

... A key challenge is that while the most useful individual or recommendations are to be found among diverse objects, the most reliably accurate results are obtained by methods that recommend objects based on user or ...

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MUSIC RECOMMENDER SYSTEM

MUSIC RECOMMENDER SYSTEM

... In order to make use of the Last.fm database, they provide API documentation 35 where to find information related to methods or response formats. It‟s possible to find previous implementations of wrappers written ...

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Model based Methods for Recommender Systems

Model based Methods for Recommender Systems

... Since the first works in the mid-1990s, recommendation systems have become the subject of intense scientific attention. During the last decade a lot of work has been done both theoretical and applied, dedicated to the ...

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