Find the Kth largest number. Special topics in Advanced Algorithms -Slides prepared by Raghu Srinivasan. Problem. Input: Unsorted set of numbers and an integer k Output: kth largest number from the given set of numbers Deterministic Solution – Using median of mediansBy rachana
Web and Intranet Search: What‘s Next After Google* ?. Moderator: Gerhard Weikum (Max-Planck Institute for CS) Panelists: Eric Brill (Microsoft Research) Hector Garcia-Molina (Stanford University) Jan Pedersen (Yahoo!)By Mercy
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Yahoo! Research Overview Marcus Fontoura Prabhakar Raghavan, Head. Mission & Vision. Vision: Where the Internet’s future is invented with innovative economic models for advertisers, publishers and consumers. Mission: Invent the N ext generation Internet by defining the future media to
Clustering Chris Manning, Pandu Nayak, and Prabhakar Raghavan. Today ’ s Topic: Clustering. Document clustering Motivations Document representations Success criteria Clustering algorithms Partitional Hierarchical. Ch. 16. What is clustering?.
Adapted from Christopher Manning and Prabhakar Raghavan Tolerant Retrieval. Sec. 3.2. Wild-card queries: *. mon*: find all docs containing words beginning with “mon”. Use a Prefix-search data structure *mon: find words ending in “mon”
Lucene Tutorial Chris Manning, Pandu Nayak, and Prabhakar Raghavan. Based on “ Lucene in Action”. By Michael McCandless , Erik Hatcher, Otis Gospodnetic. Lucene. Open source Java library for indexing and searching L ets you add search to your application
Probabilistic Information Retrieval Chris Manning, Pandu Nayak and Prabhakar Raghavan. Who are these people?. Keith van Rijsbergen. Stephen Robertson. Karen Sp ä rck Jones. Summary – vector space ranking. Represent the query as a weighted tf-idf vector
CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 3: Dictionaries and tolerant retrieval. Ch. 2. Recap of the previous lecture. The type/token distinction Terms are normalized types put in the dictionary Tokenization problems:
CS276 Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 7: Scoring and results assembly. Ch. 6. Recap: tf-idf weighting. The tf-idf weight of a term is the product of its tf weight and its idf weight. Best known weighting scheme in information retrieval
CS276 Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 8: Evaluation. Sec. 6.2. This lecture. How do we know if our results are any good? Evaluating a search engine Benchmarks Precision and recall Results summaries:
CS276: Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 15: Learning to Rank. Sec. 15.4. Machine learning for IR ranking?. We’ve looked at methods for ranking documents in IR