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With technologies such as Google Prediction API and mahout, it should now be easier to add for your website users: recommendations, separate ham from spam, and predict what newsletter content they will not consider spam. Let's explore and discuss these new technologies together and how we can use and efficienly implement/deploy them in our websites/projects/communities. Other applications of prediction/classification/clusterin
g/collaborative filtering that I haven't thought of are welcome!
Bay Area Search Engineering Monthly Meetup Monthly presentation on topics of interest to search software engineers. Query Recall & Expansion (synonyms, spelling, autocomplete, related search) Machine Learning for Ranking (decision trees) Factor development for ranking (page factors, ecommerce factors) Search metrics (DCG, NDCG, RPref, etc.) Hadoop & Data Mining for Search (bipartite graphs, session analysis).
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The Big Data Analytics Speaker Series is an Adobe/Omniture sponsored speaker series that is open to the general public. Meetings will be conducted monthly in a workshop style meet-up at Adobe's downtown San Jose headquarters and present expert speakers from academia and industry to discuss topics related to the analysis of big data sets and range from tutorials to expert roundtable discussions and cover analytical models to best practices. There will also be specific topics related to mobile, so …
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