Non-Semantic Aware EWC Recommender System
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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OLAP queries context-aware recommender system
... In this paper, we exposed the limits of classic log-based RSs when recom- mending OLAP queries. Indeed, recommended queries can be irrelevant or non- computable. In order to overcome these limitations, we propose ...
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Context aware Social Popularity based Recommender System
... thing within different contexts and situations. There are several approaches which deal with contextual data. These are pre-filtering, which considers that the contextual information is used to filter out unrelated ...
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An explainable recommender system based on semantically-aware matrix factorization.
... and semantic inference, to help build explainability into accurate Black Box predictive systems in a way that is modular and extensible to a variety of prediction tasks within and beyond recommender ...
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Recommender Systems for the Semantic Web
... the system ontology will appear in inverted commas for the remainder of this paper, for ease of ...a system aware of the different ’Types’ of ’Items’ available for recom- mendation allows these ...
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Location Aware Recommender Using Food CRM with Misscall Alter System
... KEYWORDS: Recommender system, spatial, non-spatial, Collaborative filtering, Nearest ...INTRODUCTION Recommender systems takes review of users to identify useful items from a large search ...
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Item reputation-aware recommender systems
... as minimum numbers of categories for the ML5, ML10, and MLC datasets, respectively. Table 3 shows the results for using different reputations ranked lists combined with the basic user-based CF using the Baldwin merging ...
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Context-aware recommender for mobile learners
... learning recommender can be considered, to a certain extent, as a knowledge management task to support the learner ’ s current ...the system should be able to capture the learner ’ s profile, learner ’ s ...
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Semantic data mining and linked data for a recommender system in the AEC industry
... a system that relies on knowledge disocvered in building data and stored in knowledge graphs to make recommendations to- wards the design ...ommender system is conceived as user-centered and can provide any ...
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Empirical Analysis of Attribute-Aware Recommender System Algorithms Using Synthetic Data
... They focused on algorithms for unsupervised learning in the presence of non-ignorable missing data. They evaluated their work with a real-life dataset, EachMovie, which contains more than 95% of missing data. ...
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Tag-based Recommender System for Context-Aware Content Dissemination in Opportunistic Networks
... a recommender system for reasoning upon these information representing the context of a single user and of the ...a semantic meaning to the data ...
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Design and Development of a Location–Aware Recommender System for Producing More Accurate and Reliable Recommendations to Maximize System Scalability
... location-aware recommender system that uses location-based ratings to produce ...Traditional recommender systems do not consider spatial properties of users nor items, LARS, on the other hand, ...
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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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Interest Sustainability-Aware Recommender System
... existing recommender systems model user’s preference to items without considering how much users’ interests in each item will sustain in the ...novel recommender system, called CRIS, that considers ...
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A Risk and Similarity Aware Application Recommender System
... Google provides developer documentation for Android developers, but there is limited infor- mation of permissions. Felt et al. even find that there are 6 errors in the Android permis- sion documentation [ 27 ] . In ...
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FEEDBACK BASED LOCATION AWARE RECOMMENDER SYSTEM
... Conventional recommender systems neither consider item location nor the user location to recommend the items of user’s ...Based Recommender Systems(FBLARS) considers both the user as well as item location ...
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A Style-Aware Collaborative Filtering-Based Recommender System
... 5. Conclusion This paper presented a Style-Aware Collaborative Filtering based recommender system for Clothing e-stores. We model user preferences using TF-IDF metric incorporating the outcome in CF. ...
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An Intelligent Context Aware Recommender System for Real-Estate
... information, recommender sys- tems become more than ever important to suggest the user with relevant property and reduce search ...sophisticated recommender in this domain can assist the need of a ...
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A Brand-Aware Collaborative Filtering-Based Recommender System
... Figure 2. Precision and recall at top-10 recommendations for Home and Kitchen dataset. 4.3. Discussions The results of our analaysis support past findings that brand name is a key component in the consumer purchasing ...
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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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