In <cite>(Agirre and Soroa, 2009</cite> ), a possible, and more accurate alternative, is also presented called PPR word2word (P P Rw2w) where a different personalization vector is used for each word in a sentence. Although clearly less efficient in terms of time complexity, this approach guarantees the best accuracy, so that it can be considered the state-ofthe art in unsupervised WSD. In this paper a different approach to personalization of the PageRank is presented, aiming at preserving the suitable efficiency of the sentence oriented PPR algorithm for WSD but achieving an accuracy at least as high as the P P Rw2w one.