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As many online systems rely on user ratings for making decisions such as recommendations, the quality of such rating scores are increasingly important. On the other hand, users interact with each other via online communities. How such interactions affect the trueness of their ratings? Can we obtain the true rating scores that exclude the influences among users? This paper presents a conceptual framework...
Compared to the high computational complexity of many tag recommenders, a simple and heuristic approach of tag recommendation is proposed, based on tag user and item tag co-occurrences in parallel. Firstly, we use aspect model PLSA to set up a probabilistic model. We find that the probability of the recommended tags to an item for a specific user is determined by two factors: the preferences in choosing...
A methodology is developed to use the explicit dynamic analysis results to reflect the real impact responses of wire bonding under different CV (constant velocity) settings. The optimal ranges of the process parameter settings for wire bonding on Cu/low-K wafers are determined by this way. The KNS Maxum bonder is selected as the vehicle for mapping the process settings into the simulation. The approximate...
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