Recommendations for Movie Dataset based on Users
Supporting Users of Open Online Courses with Recommendations: an Algorithmic Study
... personalized recommendations from user activities within an open online course ...likeminded users. The results show that user-based and memory-based methods perform better than ...
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Bridging the biodiversity data gaps: Recommendations to meet users’ data needs
... Abstract – Freely available high quality, data on species occurrence and associated variables are needed in order to track changes in biodiversity. One of the main issues surrounding the provision of such data is that ...
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Accessible Web Maps for Visually Impaired Users: Recommendations and Example Solutions
... impaired users, several open questions need to be answered: What guidelines exist to support their development? Which applications already exist that can serve as examples to guide the design and implementation of ...
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Connecting users and items with weighted tags for personalized item recommendations
... 4:15pm Provenance Meets Adaptive Hypermedia Northrop Frye Hall NF003 5-6pm Break, 25 minute (approx) walk to Ryerson University. 6-9pm Poster and Demo Reception Ted Rogers School of[r] ...
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Users dealing with spam and spam filters: some observations and recommendations
... spam users have to cope with. This paper describes work towards helping users better understand the often complex decision making that is spam ...help users understand how spam filters work and how ...
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Potential Users of Electric Mobility in Commercial Transport – Identification and Recommendations
... special conditions are offered to people buying EVs (e.g. reduced leasing rates) but incentives for this are given through R&D projects which are funded by the government or the EC. To lower the operational costs of ...
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A framework for dataset benchmarking and its application to a new movie rating dataset
... real users interact with a recommender system to learn about their satisfac- tion and behavioral ...MovieLens dataset is used to drive such user-centric experiments ...the dataset is outdated and may ...
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Improved movie recommendations based on a hybrid feature combination method
... help users ¯nd relevant items e±ciently based on their interests and historical interactions with other ...produce recommendations that are limited in accuracy because of diversity and sparsity ...
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A Survey on Hybrid Recommendation System for Movie dataset
... among users or ...filtering recommendations are based on similarity of users or items, all data should be compared with each other in order to calculate this ...in dataset, too much ...
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Exploring the Semantic Gap for Movie Recommendations
... the movie do- main, which can be easily configured to facilitate the execution of controlled empirical ...supports users with a wide range of functionalities that are common in online video-streaming ...
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Movie Recommendation Based on Graph Traversal Algorithms
... was based on collecting explicit feedback from ...of recommendations based on the initial nodes using the four recommendation algorithms we ...algorithms based on their accuracy and was also ...
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Movie Recommender Chatbot Based on Kansei Engineering
... the movie recommendation system is that when a new user enters the system, the recommendation system is directly invalid because the system does not know the user's preference for the type of the ...the ...
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Recommendations based on social links
... media users have enjoyed the opportunities of meeting new friends, expanding online social networks, gaining new and relevant information, propagating their opinions and so on ...for users to leverage from ...
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Tim Ferriss Movie Recommendations
... recommendations and more? Did i like a tim ferriss this film is about business, to brain damage was just find in acquiring more time, tribe of light? Out what makes it seems that have also great roomy toe box with ...
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Predictions of new graph relationships - The Movie DataBase dataset
... can be found at Kaggle competition 1 . Most of these projects are based on linear o multilinear regressions. An interesting work is Bogers (2010). It describes a recommendation algorithm called Con- textWalk using ...
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Why “Blow Out”? A Structural Analysis of the Movie Dialog Dataset
... We had already developed an efficient, struc- tural approach to incrementally learn clusters of associated products from high-dimensional, time- series data, for marketing personalized structured products to the clients ...
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Private Cross-page Movie Recommendations with the Firefox add-on OMORE
... ontology based version of IMDb and contribute it to the Linked Data cloud 14 ...each movie and could build the feature vector with a single SPARQL query instead of using HTML ...additional movie data ...
An Improved Machine Learning Approach to Analyze the Sentiment of the Movie Reviews Using IMDB dataset
... five users on the Internet use some form of social ...as movie reviews, product reviews, blog reviews, social network tweets, and the new challenging task is to mine large volume of texts and devise ...
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CEFR based Lexical Simplification Dataset
... There are several language resources for lexical simplification that are available for generating rules and creating simplifiers using machine learning. However, these resources are not tailored to language education ...
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Neural network-based movie dialogue detection
... the uniform frequency sampling of the cross-power spectral density. 3 Dataset Audio scenes from 6 movies are extracted to create the dataset, as presented in Table 1. The specific movies are chosen for ...
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