User modeling

About: User modeling is a research topic. Over the lifetime, 10701 publications have been published within this topic receiving 278012 citations.

A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation

Abstract: Collaborative and content-based filtering are the recommendation techniques most widely adopted to date. Traditional collaborative approaches compute a similarity value between the current user and each other user by taking into account their rating style, that is the set of ratings given on the same items. Based on the ratings of the most similar users, commonly referred to as neighbors, collaborative algorithms compute recommendations for the current user. The problem with this approach is that the similarity value is only computable if users have common rated items. The main contribution of this work is a possible solution to overcome this limitation. We propose a new content-collaborative hybrid recommender which computes similarities between users relying on their content-based profiles, in which user preferences are stored, instead of comparing their rating styles. In more detail, user profiles are clustered to discover current user neighbors. Content-based user profiles play a key role in the proposed hybrid recommender. Traditional keyword-based approaches to user profiling are unable to capture the semantics of user interests. A distinctive feature of our work is the integration of linguistic knowledge in the process of learning semantic user profiles representing user interests in a more effective way, compared to classical keyword-based profiles, due to a sense-based indexing. Semantic profiles are obtained by integrating machine learning algorithms for text categorization, namely a naive Bayes approach and a relevance feedback method, with a word sense disambiguation strategy based exclusively on the lexical knowledge stored in the WordNet lexical database. Experiments carried out on a content-based extension of the EachMovie dataset show an improvement of the accuracy of sense-based profiles with respect to keyword-based ones, when coping with the task of classifying movies as interesting (or not) for the current user. An experimental session has been also performed in order to evaluate the proposed hybrid recommender system. The results highlight the improvement in the predictive accuracy of collaborative recommendations obtained by selecting like-minded users according to user profiles.

Fuzzy-genetic approach to recommender systems based on a novel hybrid user model

Abstract: The main strengths of collaborative filtering (CF), the most successful and widely used filtering technique for recommender systems, are its cross-genre or 'outside the box' recommendation ability and that it is completely independent of any machine-readable representation of the items being recommended However, CF suffers from sparsity, scalability, and loss of neighbor transitivity CF techniques are either memory-based or model-based While the former is more accurate, its scalability compared to model-based is poor An important contribution of this paper is a hybrid fuzzy-genetic approach to recommender systems that retains the accuracy of memory-based CF and the scalability of model-based CF Using hybrid features, a novel user model is built that helped in achieving significant reduction in system complexity, sparsity, and made the neighbor transitivity relationship hold The user model is employed to find a set of like-minded users within which a memory-based search is carried out This set is much smaller than the entire set, thus improving system's scalability Besides our proposed approaches are scalable and compact in size, computational results reveal that they outperform the classical approach

Task-sensitive methods and systems for displaying command sets

Abstract: Methods and systems present commands to a user within a software application program by determining the user's context within the application program and automatically presenting in a user interface commands that pertain to the user's current context. When the user's context changes, the context-sensitive commands are automatically removed from the user interface. In one implementation context blocks and context panes are employed to present the commands.

E-Commerce User Experience

Abstract: The best ebooks about E Commerce User Experience that you can get for free here by download this E Commerce User Experience and save to your desktop. This ebooks is under topic such as e-commerce user experience steps forward e commerce user experience bgpltd e commerce user experience cxtech user experience in e-commerce environments e commerce user experience lisani e commerce user experience motuel e-commerce user experience ty and lumi organics ltd e-commerce user experience: do we feel under pressure a set of heuristics for user experience evaluation in e oracle commerce b2b solution infosys infosys consulting an investigation of user-experience design of e-commerce practical eye tracking of the ecommerce website user stereoscopic 3d to enhance user experience in e-commerce user experience in personalized ecommerce: a how web and mobile performance optimizes conversion and a set of heuristics for user experience evaluation in e lnai 6441 the research on the user experience of e designing the user experience for different user needs for security user experience dcsk e commerce user experience bagabl using usability factors to predict the e-commerce user e commerce user experience dashmx e-commerce s1q4cdn how can usability contribute to user experience? a study analysis of user experience at b2c e-commerce website improving e-commerce user experience with data-driven user experience, satisfaction, and continual usage user experience survey report econsultancy b2b e-commerce: reinventing the web oracle e-commerce reference architecture ibm multifactor authentication for e-commerce: online business solutions association color attribute filtering experience nielsen pdf e commerce user redesign the user experience of e-commerce mobile cloud customer architecture for ecommerce cscc 2012 report on e-commerce in independent hotels oracle creating an e-commerce web site: a do-it-yourself guide standard features of e-commerce user interface for the web development of an anticipated user experience framework best stories of omni-channel commerce infosys the strategy behind effective seo for e-commerce complete guide to building an e-commerce business sap ecommerce integration (hybris) user experience dual-method usability evaluation of e-commerce websites e commerce e commerce ibizzy critical success factors for positive user experience in privacy and security issues in e-commerce how to use new relic browser to improve your web appâ€ÂTMs future of e-commerce: uncovering innovation deloitte us

Systems and methods for storage of user information and for verifying user identity

Abstract: Systems and methods are provided for maintaining user profile information and allowing for biometric verification of the user's identity. The user stores or links to personal, financial, etc. information in a web page. The user can limit the types of information that is available to others. The information can be downloaded to a portable device. The information can be used for financial transactions, where the financial information is transmitted to a web site, an ATM, credit card machine, etc. for financial approval. The information can also be used to find other users with similar interest. The user stores selected characteristics that they would like to find in other users, which are compared with other user's profiles. Matching users are aided in locating one another, where they may then prove their identity to each other by biometrically verifying that they are the owner of the user profile.