Recommender system
Content Based Recommender System for Map Routing
... Abstract- In the past few years, with the proliferation of mobile devices people are experiencing frequent communication and information exchange. For instance, in the context of people’s visits, it is often the case ...
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Incorporating popularity in a personalized news recommender system
... Micro-blog posts can also be used as a way of identifying the popularity of certain events. Smyth et al. represent users and items based on micro-blogging reviews of movies and used this technique with various movie ...
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Vulcont: A Recommender System based on Contexts History Ontology
... The use of recommender systems is already widespread. Everyday people are exposed to different items’ offering that infer their interest and anticipate decisions. The context informa- tion (such as location, ...
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Strategies of detecting Profile-injection attacks in E-Commerce Recommender System: A survey Partha
... Observing the distribution of item ratings over time for a user can lead researchers to find out attack events in a recommender system. A number of works have been done in this direction. A time series ...
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Design Context Aware Activity Recommender System for Iranian Customer Mind Activism in Online Shopping
... problem, recommender system is a good ...aware recommender system is modeled which in social network platform and make suitable recommendations for ...This recommender system ...
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Improving Web Movie Recommender System Based on Emotions
... Movie Recommender System (MRS) based on human ...new Recommender System ...our system provides much better recommendations to users because it enables the users to understand the ...
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FARS: Fuzzy Ant based Recommender System for Web Users
... intelligent recommender system for providing high potential recommendations is proposed, which uses fuzzy logic in accordance with ant colony optimization for increasing the accuracy and relevancy of ...The ...
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Simultaneous Selection Method of Query Items and Neighbors in a Recommender System
... Recommendation for each active user is performed using the query items and neighbors obtained by the above repetitive updates. In this study, the proposed method is applied to two benchmark datasets for a ...
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Tagged at first listen: An examination of social tagging practices in a music recommender system
... Social tagging has become a very common way to index different types of resources on the web. Less prevalent in music than in other domains, social tagging is nevertheless used in a popular recommender ...
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An Automated Recommender System for Course Selection
... the system may try to correlate the occurrences of keywords in a web page with the user's interest ...the recommender system, the items proposed are similar to those items in the user's ...
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Sairmais.com, a new web 2.0 portal for tourism information with a recommender system
... To make thinks worst, the user has to dig several websites in order to collect information about the surroundings, such as nearby restaurants and activities as, most often than not, the information is scattered. The ...
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THE PECULIARITIES OF THE CULTURAL MARKET: THEORETICAL BACKGROUND
... music recommender systems with over 37 million direct and 19 indirect users, distributed among 280 countries worldwide, and with a library of over 150 million songs registered by 280,000 record companies and over ...
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Assessing and Improving Recommender Systems to Deal with User Cold-Start Problem
... the system in exchange of his social information. Once the system has collected enough preference data from the user, it can build an initial prediction ...the system improves the model. For now, the ...
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Feature Analysis of Recommender Techniques Employed in the Recommendation Engines
... the recommender engines and techniques: The Recommended methods described in this study, are good in several applications, including the ones for real estate cadastre web site RS (Krol et ...care system and ...
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Multi-objective pareto-efficient algorithms for recommender systems
... a system is said to be Pareto-Efficient if no such improvement is ...multi-objective recommender systems that are built by combining existing recommendation algorithms, as it fits perfectly with trying to ...
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Learner-User Satisfaction Survey in the AdaptWeb Platform using the Learner Choices from Learner-Driven Learning
... of recommender systems in Technology Enhanced Learning. Recommender systems are filtering systems that usually reduce a considerable number of options in a user choice to a smaller subset and then leave it ...
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Conglomeration of Instance Filtering’s k- Nearest Neighborhood and Collaborative Filtering’s Item based Recommendation on Airline Dataset System using Map-Reduce and Mahout
... open-source, system and consists of a wide range of applications that are useful for a recommender system developer: collaborative filtering algorithms, data clustering, and data ...
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How to use recommender systems in e-business domains
... section, recommender systems offer the opportunity to reach several different goals in terms of value offered to ...of recommender systems designed with a business-centric focus ...a recommender ...
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A long term goal recommender approach for learning environments
... current recommender systems suggest learning materials regarding his/her level of ...the recommender system would be recommending adequate learning materials successively while promoting his/her ...
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SEMANTIC GROUNDING STRATEGIES FOR TAGBASED RECOMMENDER SYSTEMS
... compare the semantic grounding generated using WordNet against ontologies. Data for our study come from three popular social tag-based web systems such as Del.icio.us, Flickr and Digg. The paper is organized as follows. ...
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