Target tracking in the recommender space: Toward a new recommender system based on Kalman filtering

In this paper, we propose a new approach for recommender systems based on target tracking by Kalman filtering. We assume that users and their seen resources are vectors in the multidimensional space of the categories of the resources. Knowing this space, we propose an algorithm based on a Kalman filter to track users and to predict the best prediction of their future position in the recommendation space

Spatial Attention to Social Cues is not a Monolithic Process

Social stimuli are a highly salient source of information, and seem to possess unique qualities that set them apart from other well-known categories. One characteristic is their ability to elicit spatial orienting, whereby directional stimuli like eyegaze and pointing gestures act as exogenous cues that trigger automatic shifts of attention that are difficult to inhibit. This effect has been extended to non-social stimuli, like arrows, leading to some uncertainty regarding whether spatial orienting is specialized for social cues. Using a standard spatial cueing paradigm, we found evidence that both a pointing hand and arrow are effective cues, but that the hand is encoded more quickly, leading to overall faster responses. We then extended the paradigm to include multiple cues in order to evaluate congruent vs. incongruent cues. Our results indicate that faster encoding of the social cue leads to downstream effects on the allocation of attention resulting in faster orientin

Automatic tracking and control for web recommendation New approaches for web recommendation

International audienceRecommender systems provide users with pertinent resources according to their context and their profiles, by applying statistical and knowledge discovery techniques. This paper describes a new approach of generating suitable recommendations based on the active user's navigation stream, by considering long distance resources in the history. Our main idea to solve this problem is the following: we consider that users browsing web pages or web contents can be seen as objects moving along trajectories in the web space. Having this assumption, we derive the appropriate description of the so-called recommender space to propose a mathematical model describing the behavior of the users/targets in the web/along the trajectories inside the recommender space. The second main assumption can then be expressed as follow: if we are able to track the users/targets along their trajectories, we are able to predict the future positions in the sub-spaces of the recommender space i.e., we are able to derive a new method for web recommendation and behavior monitoring. To achieve these objectives, we use the theory of the dynamic state estimation and more specifically the theory of Kalman filtering. We establish the appropriate model of the target tracker and we derive the iterative formulation of the filter. Then, we propose a new recommender system formulated as a control loop. We validate our approach on data extracted from online video consumption and we derive a users monitoring approach. Conclusions and perspectives are derived from the analysis of the obtained results and focus on the formulation of a topology of the recommender space

Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse.

BACKGROUND: Predicting metabolic sites is important in the drug discovery process to aid in rapid compound optimisation. No interactive tool exists and most of the useful tools are quite expensive. RESULTS: Here a fast and reliable method to analyse ligands and visualise potential metabolic sites is presented which is based on annotated metabolic data, described by circular fingerprints. The method is available via the graphical workbench Bioclipse, which is equipped with advanced features in cheminformatics. CONCLUSIONS: Due to the speed of predictions (less than 50 ms per molecule), scientists can get real time decision support when editing chemical structures. Bioclipse is a rich client, which means that all calculations are performed on the local computer and do not require network connection. Bioclipse and MetaPrint2D are free for all users, released under open source licenses, and available from http://www.bioclipse.net.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

IUE program SUGSD: Varability time scale of H Ly-alpha from Uranus

The scientific motivation for this program was to determine the time scale for the variability of the H Lyman-alpha emission from Uranus. The purpose of this series of observation is to determine its variability on shorter time scales. A series of observations was carried out in coordination with ESA to cover as completely as possible one 24 hour period of the Uranian H Lyman-alpha emission. The observations were obtained on April 23 and 24. Two additional ovservations on April 25 and 26 were obtained to search for longer term trends. A small modulation in the brightness was observed and the results presented

Poursuite de cibles dans l'espace de recommandation - vers un nouveau système de recommandation basé sur le filtrage de Kalman

International audienceIn this paper, we propose a new approach for recommender systems based on target tracking by Kalman filtering. We assume that users and their consumptions of television programs are vectors in the multidimensional space of the categories of the resources. Knowing this space, we propose an algorithm based on a Kalman filter to track the user's profile and to foresee the best prediction of their future position in the recommendation space. From this prediction, we build a recommendation of contents

How to determine the parameters of polymer crystallization for modeling the injection-molding process?

International audienceTo understand the relationship between 'polymers-processing conditions-structures-properties', crystallization is one of the major concerned phenomena. A general crystallization model derived from Avrami's work has been developed at CEMEF and implemented into a 3D finite element code for injection-molding named Rem3D®. It gives a precise description of the crystallization event, allows the determination of morphological features, but it requires a reliable determination of the crystallization parameters. The experimental procedures adopted to capture relevant experimental parameters are presented. The determination of overall kinetics, density of potential nuclei with activation frequency of nuclei into crystalline entities, and growth rate is carried out with polarized optical microscopy (POM) and is supplemented by small angle light scattering (SALS). The treatment of data is performed by a classical method or using an inverse genetic algorithm method to extract the parameters necessary to our model. The 2D simulation of the crystallization, illustrated with Rem3D®, reproduces the experimental reality quite accurately, in the case of an isothermal and static crystallization. This is applied to two polymers, an isotactic homopolymer polypropylene iPP and a polyether-block amide PEBAX®

Pennsylvania Folklife Vol. 10, No. 2

• Cutting-Up for Fancy • English-Language Folk Culture in Pennsylvania • The Bench Versus the Catechism: Revivalism and Pennsylvania\u27s Lutheran and Reformed Churches • Collecting and Indexing Dialect Poetry • Folk Amusements in Western Pennsylvania • Of Plows and Ploughing • The New Year Wish of the Pennsylvania Dutch Broadsidehttps://digitalcommons.ursinus.edu/pafolklifemag/1005/thumbnail.jp

Pennsylvania Folklife Vol. 11, No. 2

• Walter Ellsworth Boyer (1911-1960) • The Meaning of Human Figures in Pennsylvania Dutch Folk Art • Meadow Irrigation in Pennsylvania • Receipt Books-New and Old • Pennsylvania Cave and Ground Cellars • The Amish in Their One-Room Schoolhouses • Collectaneahttps://digitalcommons.ursinus.edu/pafolklifemag/1007/thumbnail.jp