Nec Corporation

Sofia Nikitaki

Mohamed Ahmed

Saverio Niccolini

Felipe Huici

Konstantin Kutzkov

A method estimates similarities in data streams. A data source receives input vectors from users. A sketch feature generator converts the input vectors into sketch feature vectors corresponding to the users, wherein each sketch feature vector represents data and meta-information from each user received in a most recent sample period. A similarity comparator compares each sketch feature vector against other sketch feature vectors to calculate similarity probabilities between the users. A processor running a decision loop determines a prediction result for at least one user based on the similarity probabilities.

Weighted similarity estimation in data streams with applications to collaborative filtering and viral marketing

A method for caching objects at one or more cache servers of a content delivery network (CDN) includes: determining, by a processor, attributes of objects of a set of objects; calculating, by the processor, an efficiency metric for each object of the set of objects based on the attributes of each object, wherein the attributes of each object include an expected future popularity associated with the object; selecting, by the processor, a subset of objects from the set of objects for caching based on calculated efficiency metrics; and caching the subset of objects at the one or more cache servers.

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Darmstadt, Germany

Sofia Nikitaki