HashGraph : an expressive and scalable Twitter users profile for recommendation

large sets of URLs and large parts of the W eb graph using only standard, free and.. widely available tools, namely sort, gzip

In this paper, we proposed a graph configuration, group-user-item tripartite attributed multiplex heterogeneous networks, for a social recommender system. To avoid the

Increase data quality: the system may take advantage of the description of the quality given in the ser- vice description or in the result and uses it to e.g., select the

In fact, even if we try to obtain the right answer by using SPARQL 1.1 under the entailment regimes for these vocabularies, we are forced by the restrictions of the language [4]

We follow a recommender system approach and combine, in an ensemble, the individual rankings produced by simple collaborative filtering algorithms in order to produce a

Our domain-independent approach for recommendation with social network data draws heavily on recent research in the area of complex heterogeneous information networks3. Ac- cording

The paper describes lexitags, a new approach to social semantic tagging whose goal is to allow users to easily enrich resources with semantic metadata from

We then provide the results of an extensive experimental study of the distributional properties of relevant measures on graphs generated by several stochastic models, including