Un paio di letture per il Week End
Alberto - 2 maggio, 2008 12:12 pm
Sia che abbiate deciso di andare al mare o di restarvene a casa (io sono ancora indeciso…), vi consiglio un paio di articoletti da stampare e leggere sotto l’ombrellone al posto del proverbiale giornale scandalistico (o Gazzetta).
Il primo è un articoletto di ricerca di Google sul VisualRank. In pratica, il nuovo metodo utilizzato da Google per l’analisi e l’indicizzazione delle immagini. Eccovi l’abstract:
In this paper, we cast the image-ranking problem into the task of identifying “authority” nodes on an inferred visual similarity graph and propose an algorithm to analyze the visual link structure that can be created among a group of images. Through an iterative procedure based on the PageRank computation, a numerical weight is assigned to each image; this measures its relative importance to the other images being considered. The incorporation of visual signals in this process differs from the majority of large-scale commercial-search engines in use today. Commercial search-engines often solely rely on the text clues of the pages in which images are embedded to rank images, and often entirely ignore the content of the images themselves as a ranking signal. To quantify the performance of our approach in a real-world system, we conducted a series of experiments based on the task of retrieving images for 2000 of the most popular products queries. Our experimental results show significant improvement, in terms of user satisfaction and relevancy, in comparison to the most recent Google Image Search results.
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Il secondo è un articolo dedicato a Youtube. Adsorption è un nuovo algoritmo, testato l’estate scorsa, che dovrebbe migliorare la qualità dei video correlati di Youtube, innalzando in questo modo il numero di video visti. Eccovi l’Abstract:
The rapid growth of the number of videos in YouTube provides enormous potential for users to find content of interest to them. Unfortunately, given the difficulty of searching videos, the size of the video repository also makes the discovery of new content a daunting task. In this paper, we present a novel method based upon the analysis of the entire user–video graph to provide personalized video suggestions for users. The resulting algorithm, termed Adsorption, provides a simple method to efficiently propagate preference information through a variety of graphs. We extensively test the results of the recommendations on a three month snapshot of live data from YouTube.
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[tags]visualrank, google, youtube, adsorption[/tags]
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