'Common neighbors' diaporamas de présentation

Recommendation in Advertising and Social Networks

Recommendation in Advertising and Social Networks. Deepayan Chakrabarti (deepay@yahoo-inc.com). This presentation. Content Match [KDD 2007] : How can we estimate the click-through rate (CTR) of an ad on a page?. CTR for ad j on page i. ~10 9 pages. ~10 6 ads. This presentation.

616 views • 52 slides

Saswat Mishra sxm111131

400 views • 30 slides

Link Prediction and Recommendation across Multiple Heterogeneous Networks

Link Prediction and Recommendation across Multiple Heterogeneous Networks. Yuxiao Dong * $ , Jie Tang $ , Sen Wu $ , Jilei Tian # Nitesh V. Chawla * , Jinghai Rao # , Huanhuan Cao #. *University of Notre Dame $ Tsinghua University # Nokia Research China.

663 views • 28 slides

A Theoretical Justification of Link Prediction Heuristics

A Theoretical Justification of Link Prediction Heuristics. Deepayan Chakrabarti (deepay@cs.cmu.edu). Purnamrita Sarkar. Andrew Moore. Link Prediction. Which pair of nodes {i,j} should be connected?. Alice. Bob. Charlie. Goal: Recommend a movie. Link Prediction.

307 views • 23 slides

ROCK: A Robust Clustering Algorithm for Categorical Attributes

ROCK: A Robust Clustering Algorithm for Categorical Attributes. Sudipto Guha Stanford University Stanford, CA 94305. Rajeev Rastogi Bell Laboratories Murray Hill, NJ 07974. Kyuseok Shim Bell Laboratories Murray Hill, NJ 07974.

790 views • 22 slides