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CS276 - Scoring documents: zone weighting. Index support for scoring. tf idf and vector spaces ... Two docs that have many rare words in common (wingspan, tailfin). Exercise ...

Scoring documents: zone weighting. Index support for scoring. tf idf and vector spaces ... Two docs that have many rare words in common (wingspan, tailfin). Exercise ...

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CS276: Information Retrieval and Web Search PowerPoint PPT Presentation

CS276: Information Retrieval and Web Search - CS276: Information Retrieval and Web Search Christopher Manning and Pandu Nayak Spelling Correction

CS276: Information Retrieval and Web Search Christopher Manning and Pandu Nayak Spelling Correction

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CS276 Information Retrieval and Web Search - CS276 Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 1: Boolean retrieval

CS276 Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 1: Boolean retrieval

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CS276 Information Retrieval and Web Search - CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 7: Scoring and results assembly Visualization Query Leader Follower Sec. 7.1.6 ...

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 7: Scoring and results assembly Visualization Query Leader Follower Sec. 7.1.6 ...

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CS276: Information Retrieval and Web Search - CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 5: Index Compression Postings: two conflicting forces A term like ...

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 5: Index Compression Postings: two conflicting forces A term like ...

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CS276 - The dictionary data structure stores the term vocabulary, document frequency, ... How do we store a dictionary in memory efficiently? ...

The dictionary data structure stores the term vocabulary, document frequency, ... How do we store a dictionary in memory efficiently? ...

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CS276: Information Retrieval and Web Search - CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 3: Dictionaries and tolerant retrieval lore lore Matching trigrams Consider the ...

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 3: Dictionaries and tolerant retrieval lore lore Matching trigrams Consider the ...

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CS276: Information Retrieval and Web Search - Introduction to Information Retrieval Introduction to Information Retrieval CS276: Information Retrieval and Web Search Text Classification 1 Chris Manning, Pandu ...

Introduction to Information Retrieval Introduction to Information Retrieval CS276: Information Retrieval and Web Search Text Classification 1 Chris Manning, Pandu ...

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CS276: Information Retrieval and Web Search - CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 6: Scoring, Term Weighting and the Vector Space Model Length normalization A ...

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 6: Scoring, Term Weighting and the Vector Space Model Length normalization A ...

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CS276 Information Retrieval and Web Search - CS276 Information Retrieval and Web Search Chris Manning, Pandu Nayak and Prabhakar Raghavan Crawling and Duplicates

CS276 Information Retrieval and Web Search Chris Manning, Pandu Nayak and Prabhakar Raghavan Crawling and Duplicates

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CS276 Information Retrieval and Web Search - CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 17: Crawling and web indexes Back queue processing A crawler thread seeking a ...

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 17: Crawling and web indexes Back queue processing A crawler thread seeking a ...

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CS276%20Information%20Retrieval%20and%20Web%20Search PowerPoint PPT Presentation

CS276%20Information%20Retrieval%20and%20Web%20Search - CS276 Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 9: Query expansion

CS276 Information Retrieval and Web Search Christopher Manning and Prabhakar Raghavan Lecture 9: Query expansion

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CS276 Information Retrieval and Web Search - CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 9: Query expansion * SMART: Cornell (Salton) IR system of 1970s to 1990s.

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 9: Query expansion * SMART: Cornell (Salton) IR system of 1970s to 1990s.

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Modified from Stanford CS276 slides PowerPoint PPT Presentation

Modified from Stanford CS276 slides - Documents within a cluster should be similar. ... Unsupervised learning = learning from raw data, as opposed to supervised data ...

Documents within a cluster should be similar. ... Unsupervised learning = learning from raw data, as opposed to supervised data ...

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CS276 - amortize. madden. among. Index construction. How do we construct an index? ... Many design decisions in information retrieval are based on the characteristics ...

amortize. madden. among. Index construction. How do we construct an index? ... Many design decisions in information retrieval are based on the characteristics ...

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CS276: Information Retrieval and Web Search - CS276: Information Retrieval and Web Search Christopher Manning and Pandu Nayak Lecture 14: Support vector machines and machine learning on documents

CS276: Information Retrieval and Web Search Christopher Manning and Pandu Nayak Lecture 14: Support vector machines and machine learning on documents

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CS276A Text Information Retrieval, Mining, and Exploitation PowerPoint PPT Presentation

CS276A Text Information Retrieval, Mining, and Exploitation - How big is the lexicon V? Grows (but more slowly) with corpus size. Empirically okay model: ... Query car tyres car tyres automobile tires. Can expand index ...

How big is the lexicon V? Grows (but more slowly) with corpus size. Empirically okay model: ... Query car tyres car tyres automobile tires. Can expand index ...

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CS276: Information Retrieval and Web Search - In relevance feedback, the user marks a number of documents as relevant/nonrelevant. We then try to use this information to return better search results. ...

In relevance feedback, the user marks a number of documents as relevant/nonrelevant. We then try to use this information to return better search results. ...

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CS276 Advanced Oracle Using Java PowerPoint PPT Presentation

CS276 Advanced Oracle Using Java - Example Program: AdvResultSetExample1.java ... Update data ... because they are changes that are made using the update methods by that result set ...

Example Program: AdvResultSetExample1.java ... Update data ... because they are changes that are made using the update methods by that result set ...

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CS276 Advanced Oracle Using Java - CS276 Advanced Oracle Using Java. Chapter 5. PL/SQL and JDBC. Calling PL ... and REF CURSORs ... SQL Packages and REF CURSORs. There are two example ...

CS276 Advanced Oracle Using Java. Chapter 5. PL/SQL and JDBC. Calling PL ... and REF CURSORs ... SQL Packages and REF CURSORs. There are two example ...

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CS276 Information Retrieval and Web Search - This was all invented before the days when people were in the business of ... Fast Monte-Carlo Algorithms for finding low-rank approximations. ...

This was all invented before the days when people were in the business of ... Fast Monte-Carlo Algorithms for finding low-rank approximations. ...

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CS276: Information Retrieval and Web Search - ... skill to come up with a query that produces a manageable number of hits. ... Query: ides of march. Document 1: caesar died in march. Document 2: the long march ...

... skill to come up with a query that produces a manageable number of hits. ... Query: ides of march. Document 1: caesar died in march. Document 2: the long march ...

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CS276 Information Retrieval and Web Search - Naive Bayes (simple, common method) Support-vector machines (new, more powerful) ... Na ve Bayes Conditional Independence Assumption: ... Naive Bayes assumption: ...

Naive Bayes (simple, common method) Support-vector machines (new, more powerful) ... Na ve Bayes Conditional Independence Assumption: ... Naive Bayes assumption: ...

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CS276 Information Retrieval and Web Mining PowerPoint PPT Presentation

CS276 Information Retrieval and Web Mining - (includes s borrowed from ISI, Nicholas Kushmerick, Marti ... (THING ((AGENT (NAME (FEMALE-FIRST-NAME (EVE MARY ...)) (MALE-FIRST-NAME (LAWRENCE SAM ...

(includes s borrowed from ISI, Nicholas Kushmerick, Marti ... (THING ((AGENT (NAME (FEMALE-FIRST-NAME (EVE MARY ...)) (MALE-FIRST-NAME (LAWRENCE SAM ...

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CS276 Information Retrieval and Web Mining - Good for expert users with precise understanding of their needs and the ... Query: ides of march. Document 1: caesar died in march. Document 2: the long march ...

Good for expert users with precise understanding of their needs and the ... Query: ides of march. Document 1: caesar died in march. Document 2: the long march ...

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Modified from Stanford CS276 slides - What character set is in use? ... E.g., the query tangerine trees and marmalade skies is parsed into. tangerine trees AND trees and marmalade AND marmalade skies ...

What character set is in use? ... E.g., the query tangerine trees and marmalade skies is parsed into. tangerine trees AND trees and marmalade AND marmalade skies ...

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CS276 Information Retrieval and Web Mining - Geography: Continent Country State City ... Variant: have a single index with a separate dictionary entry for each term and zone ...

Geography: Continent Country State City ... Variant: have a single index with a separate dictionary entry for each term and zone ...

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CS276 Advanced Oracle Using Java - The standard JDBC packages from Sun Microsystems ... the Oracle specific features, as well as the Oracle specific ... Class.forName(* oracle.jdbc.OracleDriver ...

The standard JDBC packages from Sun Microsystems ... the Oracle specific features, as well as the Oracle specific ... Class.forName(* oracle.jdbc.OracleDriver ...

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CS276 Information Retrieval and Web Search - Each doc d can now be viewed as a vector of wf idf values, one component for each term ... Two docs that have many rare words in common (wingspan, tailfin). Exercise ...

Each doc d can now be viewed as a vector of wf idf values, one component for each term ... Two docs that have many rare words in common (wingspan, tailfin). Exercise ...

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CS276 Information Retrieval and Web Search - Example 11pt precision (SabIR/Cornell 8A1) from TREC 8 (1999) Recall Level Ave. ... feline feline cat. May weight added terms less than original query terms. ...

Example 11pt precision (SabIR/Cornell 8A1) from TREC 8 (1999) Recall Level Ave. ... feline feline cat. May weight added terms less than original query terms. ...

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Introduction to Information Retrival PowerPoint PPT Presentation

Introduction to Information Retrival - Introduction to Information Retrival Slides are adapted from stanford CS276

Introduction to Information Retrival Slides are adapted from stanford CS276

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INF 2914 Information Retrieval and Web Search PowerPoint PPT Presentation

INF 2914 Information Retrieval and Web Search - INF 2914 Information Retrieval and Web Search Lecture 7: Query Processing These s are adapted from Stanford s class CS276 / LING 286 Information Retrieval and ...

INF 2914 Information Retrieval and Web Search Lecture 7: Query Processing These s are adapted from Stanford s class CS276 / LING 286 Information Retrieval and ...

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CS276: Information Retrieval and Web Search - Introduction to Information Retrieval CS276: Information Retrieval and Web Search Text Classification 1 Chris Manning and Pandu Nayak

Introduction to Information Retrieval CS276: Information Retrieval and Web Search Text Classification 1 Chris Manning and Pandu Nayak

CS276 Information Retrieval and Web Search - ... Dublin core metadata in 0.3% Sec. 19.5 Advantages & disadvantages Advantages Clean statistics Independent of crawling ... The Web document ... Hidden text with ...

... Dublin core metadata in 0.3% Sec. 19.5 Advantages & disadvantages Advantages Clean statistics Independent of crawling ... The Web document ... Hidden text with ...

CS276 Information Retrieval and Web Search - CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 8: Evaluation * Impact of Inter-judge Agreement Impact on absolute performance ...

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 8: Evaluation * Impact of Inter-judge Agreement Impact on absolute performance ...

CS276 Information Retrieval and Web Search - Paid search ranking: Goto (morphed into Overture.com Yahoo! ... hotels, hotel, holiday inn, hilton, discount, booking, reservation, sex, mp3, ...

Paid search ranking: Goto (morphed into Overture.com Yahoo! ... hotels, hotel, holiday inn, hilton, discount, booking, reservation, sex, mp3, ...

Internet Technologies PowerPoint PPT Presentation

Internet Technologies - How do I describe and exchange data? XML as Data Exchange Language. How do I call procedures over the Web? ... How do I include meaning in the WWW? Semantic Web ...

How do I describe and exchange data? XML as Data Exchange Language. How do I call procedures over the Web? ... How do I include meaning in the WWW? Semantic Web ...

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CS276 Information Retrieval and Web Search - Meanwhile Goto/Overture's annual revenues were nearing $1 billion ... Yahoo follows suit, acquiring Overture (for paid placement) and Inktomi (for search) ...

Meanwhile Goto/Overture's annual revenues were nearing $1 billion ... Yahoo follows suit, acquiring Overture (for paid placement) and Inktomi (for search) ...

INF 2914 Information Retrieval and Web Search - Yahoo!: britney spears. Ask Jeeves: las vegas. Yahoo!: salvador hotels. Yahoo shortcuts ... Project 1 - Web measurements. References: Sampling: ...

Yahoo!: britney spears. Ask Jeeves: las vegas. Yahoo!: salvador hotels. Yahoo shortcuts ... Project 1 - Web measurements. References: Sampling: ...

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An Introduction to NS2 PowerPoint PPT Presentation

An Introduction to NS2 - ... old mom: How are you doing?' Class Kid -superclass Mom ... puts '$age_ years old kid: What's up, dude?' set mom [new Mom] $mom set age_ 45. set kid [new Kid] ...

... old mom: How are you doing?' Class Kid -superclass Mom ... puts '$age_ years old kid: What's up, dude?' set mom [new Mom] $mom set age_ 45. set kid [new Kid] ...

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Information Retrieval and Data Mining (AT71.07) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology PowerPoint PPT Presentation

Information Retrieval and Data Mining (AT71.07) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology - Information Retrieval and Data Mining (AT71.07) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology Instructor: Dr. Sumanta Guha Slide Sources: Introduction to ...

Information Retrieval and Data Mining (AT71.07) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology Instructor: Dr. Sumanta Guha Slide Sources: Introduction to ...

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Cryptography and Privacy Preserving Operations Lecture 1 PowerPoint PPT Presentation

Cryptography and Privacy Preserving Operations Lecture 1 - If Alice wants to approve and Eve does not interfere Bob moves to state Y. If Alice does not approve, then for any behavior from Eve, Bob stays in N ...

If Alice wants to approve and Eve does not interfere Bob moves to state Y. If Alice does not approve, then for any behavior from Eve, Bob stays in N ...

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CS276 Information Retrieval and Web Search - CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 15: Web search basics Random IP addresses Generate random IP addresses Find a ...

CS276 Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 15: Web search basics Random IP addresses Generate random IP addresses Find a ...

INF 2914 Information Retrieval and Web Search - Crawler. web page - Scan tokenized. web pages, anchor text, etc - Generate text. index ... Must schedule distributed crawlers. Could be (secure content) in. Databases ...

Crawler. web page - Scan tokenized. web pages, anchor text, etc - Generate text. index ... Must schedule distributed crawlers. Could be (secure content) in. Databases ...

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INF 2914 Information Retrieval and Web Search - Radix sort. Linear time sorting. Flexibility in defining the sort criteria ... Location = 4 bytes, but no need to sort by location since Radix sort is stable! 33 ...

Radix sort. Linear time sorting. Flexibility in defining the sort criteria ... Location = 4 bytes, but no need to sort by location since Radix sort is stable! 33 ...

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Cryptography and Privacy Preserving Operations Lecture 2: Pseudo-randomness PowerPoint PPT Presentation

Cryptography and Privacy Preserving Operations Lecture 2: Pseudo-randomness - ... way function is guaranteed to exist, can construct an O(n2 log n) one-way function g: ... zk =rk x. A. y,r2. y,rk. z1, z2, zk. y. Check whether f(xi)=y ...

... way function is guaranteed to exist, can construct an O(n2 log n) one-way function g: ... zk =rk x. A. y,r2. y,rk. z1, z2, zk. y. Check whether f(xi)=y ...

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Information Retrieval and Data Mining (AT71.07) Comp. Sc. and Inf. Mgmt. Asian Institute of Technology - ... Dividing a vector by its L2 norm makes it a unit (length) vector (on surface of unit hypersphere) Effect on the two documents d and d ...

... Dividing a vector by its L2 norm makes it a unit (length) vector (on surface of unit hypersphere) Effect on the two documents d and d ...

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Text Classification and Nave Bayes PowerPoint PPT Presentation

Text Classification and Nave Bayes - ... a rule has been carefully refined over time by a subject expert ... Use same parameters for each position. Result is bag of words model (over tokens not types) ...

... a rule has been carefully refined over time by a subject expert ... Use same parameters for each position. Result is bag of words model (over tokens not types) ...

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... Reuters newswire (part of 1995 and 1996) A Reuters RCV PowerPoint PPT Presentation

... Reuters newswire (part of 1995 and 1996) A Reuters RCV - ... Reuters newswire (part of 1995 and 1996) A Reuters RCV1 ... Reuters RCV1 statistics. symbol statistic value. N documents 800,000. L avg. # tokens per doc 200 ...

... Reuters newswire (part of 1995 and 1996) A Reuters RCV1 ... Reuters RCV1 statistics. symbol statistic value. N documents 800,000. L avg. # tokens per doc 200 ...

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CS276: Information Retrieval and Web Search - CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 11: Text Classification; Vector space classification [Borrows s from Ray ...

CS276: Information Retrieval and Web Search Pandu Nayak and Prabhakar Raghavan Lecture 11: Text Classification; Vector space classification [Borrows s from Ray ...

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