We propose the first non-trivial generic decoding algorithm for codes in sum-rank metric. The new method combines ideas of well-known decoders Hamming and rank For same code parameters number errors, decoder has a larger expected complexity than known metric smaller rank-metric decoders. Furthermore, we give formal hardness reduction, providing evidence that is computationally hard. As by-produ...

Chinese C2C market grows rapidly. However, it is plagued by serious trust fraud problems. The level of price dispersion in C2C platforms is relatively high. The mixed interaction between “lemons market” problem and high level of price dispersion makes it hard for buyers to identify trustworthy sellers with low price. We are interested in the generation of initial trust and purchase intention wh...

We consider three different approaches to define natural Riemannian metrics on polytopes of stochastic matrices. First, we define a natural class of stochastic maps between these polytopes and give a metric characterization of Chentsov type in terms of invariance with respect to these maps. Second, we consider the Fisher metric defined on arbitrary polytopes through their embeddings as exponent...

A metric space X is straight if for each finite cover of X by closed sets, and for each real valued function f on X , if f is uniformly continuous on each set of the cover, then f is uniformly continuous on the whole of X . A locally connected space is straight iff it is uniformly locally connected (ULC). It is easily seen that ULC spaces are stable under finite products. On the other hand the ...

Many content-based recommendation approaches are based on a dissimilarity measure based on the product attributes. In this paper, we evaluate four dissimilarity measures for product recommendation using an online survey. In this survey, we asked users to specify which products they considered to be relevant recommendations given a reference product. We used microwave ovens as product category. ...

P architecture and organizational communication play significant roles in complex product development efforts. By using networks to characterize both product structure and communication patterns, we examine the impact of mismatches between these on new product development (NPD) performance. Specifically, we study the vehicle development process of a major auto company and use vehicle quality (w...