99 Bm25 PPTs View free & download

FieldWeighted Xml Retrieval Based on BM25 PowerPoint PPT Presentation

FieldWeighted Xml Retrieval Based on BM25 - Revised Okapi's index structure to combine with the path indexing system ... It's a linear-combination of field-weighted tf method rather than combination of ...

Revised Okapi's index structure to combine with the path indexing system ... It's a linear-combination of field-weighted tf method rather than combination of ...

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Multiple Retrieval Models and Regression Models for Prior Art Search PowerPoint PPT Presentation

Multiple Retrieval Models and Regression Models for Prior Art Search - ... Okapi BM25 Init Post-Ranking Merging Overview of PATATRAS Lemur 4.9 - KL divergence - Okapi BM25 Init Post-Ranking Merging Overview of PATATRAS Patent Document ...

... Okapi BM25 Init Post-Ranking Merging Overview of PATATRAS Lemur 4.9 - KL divergence - Okapi BM25 Init Post-Ranking Merging Overview of PATATRAS Patent Document ...

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An Efficient and Versatile Query Engine for TopX Search PowerPoint PPT Presentation

An Efficient and Versatile Query Engine for TopX Search - E.g., term/element frequencies, probabilistic models (Okapi BM25), etc. ... Full-content scores cast into an Okapi-BM25 probabilistic model with ...

E.g., term/element frequencies, probabilistic models (Okapi BM25), etc. ... Full-content scores cast into an Okapi-BM25 probabilistic model with ...

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Ivory: Pairwise Document Similarity in Large Collection with MapReduce PowerPoint PPT Presentation

Ivory: Pairwise Document Similarity in Large Collection with MapReduce - Tamer Elsayed, Jimmy Lin, and Doug Oard ... Okapi BM25. Subsets of collection. Efficiency (running time) 99% df-cut. Efficiency (disk usage) ...

Tamer Elsayed, Jimmy Lin, and Doug Oard ... Okapi BM25. Subsets of collection. Efficiency (running time) 99% df-cut. Efficiency (disk usage) ...

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Efficient and Self-tuning Incremental Query Expansions for Top-k Query Processing PowerPoint PPT Presentation

Efficient and Self-tuning Incremental Query Expansions for Top-k Query Processing - Efficient and Self-tuning Incremental Query Expansions for Top-k Query Processing ... e.g., TF*IDF variations, probabilistic models (Okapi BM25), etc. ...

Efficient and Self-tuning Incremental Query Expansions for Top-k Query Processing ... e.g., TF*IDF variations, probabilistic models (Okapi BM25), etc. ...

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Gravitation-Based Model For Information Retrieval PowerPoint PPT Presentation

Gravitation-Based Model For Information Retrieval - There are some problems faced by information retrieval models: Most IR models fail to satisfy even some basic intuitive heuristic ... Okapi's BM25 formula: ...

There are some problems faced by information retrieval models: Most IR models fail to satisfy even some basic intuitive heuristic ... Okapi's BM25 formula: ...

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Search Engines PowerPoint PPT Presentation

Search Engines - Search Engines. Hadi Amiri. Database Research Group. ECE ... Okapi BM25, InQuery, expandedBoolean. Retrieval Model. K-means, Bisecting K- means & UPGMA ...

Search Engines. Hadi Amiri. Database Research Group. ECE ... Okapi BM25, InQuery, expandedBoolean. Retrieval Model. K-means, Bisecting K- means & UPGMA ...

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RMIT University at TREC 2004 Terabyte Track Experiments PowerPoint PPT Presentation

RMIT University at TREC 2004 Terabyte Track Experiments - Supports pivoted cosine and Okapi BM25 metrics. Working on further metrics ... Index on full text, ranked using Okapi BM25 metric ...

Supports pivoted cosine and Okapi BM25 metrics. Working on further metrics ... Index on full text, ranked using Okapi BM25 metric ...

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Information Retrieval and Organisation PowerPoint PPT Presentation

Information Retrieval and Organisation - Okapi BM25. Assume that. Factor in the term frequencies (tf) and document ... For example, the Okapi BM25 term weighting formulas have been very successful, ...

Okapi BM25. Assume that. Factor in the term frequencies (tf) and document ... For example, the Okapi BM25 term weighting formulas have been very successful, ...

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Pairwise Document Similarity in Large Collections with MapReduce PowerPoint PPT Presentation

Pairwise Document Similarity in Large Collections with MapReduce - Tamer Elsayed, Jimmy Lin, and Douglas W. Oard. University of Maryland, College Park. Human Language Technology Center of ... Okapi BM25. Subsets of collection ...

Tamer Elsayed, Jimmy Lin, and Douglas W. Oard. University of Maryland, College Park. Human Language Technology Center of ... Okapi BM25. Subsets of collection ...

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Server Selection on the World Wide Web PowerPoint PPT Presentation

Server Selection on the World Wide Web - In digital Libraries material is carefully chosen to meet peoples need of ... Retrieval is simulated using one of OKAPI BM25 or summed query term frequencies ...

In digital Libraries material is carefully chosen to meet peoples need of ... Retrieval is simulated using one of OKAPI BM25 or summed query term frequencies ...

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Chapter 4: Advanced IR Models PowerPoint PPT Presentation

Chapter 4: Advanced IR Models - Okapi BM25. Approximation of Poisson model by similarly-shaped function: finally leads to Okapi BM25 (which achieved best TREC results) ...

Okapi BM25. Approximation of Poisson model by similarly-shaped function: finally leads to Okapi BM25 (which achieved best TREC results) ...

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Evaluation in information retrieval PowerPoint PPT Presentation

Evaluation in information retrieval - from experiments and studies on the Okapi system over several years. ... the Okapi BM25 algorithm, devised for TRECs 2 and 3, has been very successful. ...

from experiments and studies on the Okapi system over several years. ... the Okapi BM25 algorithm, devised for TRECs 2 and 3, has been very successful. ...

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Exploring folksonomy for personalized seaRch PowerPoint PPT Presentation

Exploring folksonomy for personalized seaRch - Associations between the users and the web pages. using Vector Space Model(VSM) ... Interest and Topic Adjusting via Bipartite Collaborative Link Structure ...

Associations between the users and the web pages. using Vector Space Model(VSM) ... Interest and Topic Adjusting via Bipartite Collaborative Link Structure ...

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Practical Considerations for CRRT PowerPoint PPT Presentation

Practical Considerations for CRRT - Practical Considerations for CRRT Helen Currier RN, BSN, CNN Nancy McAfee RN, BSN, CNN Advantages of CRRT SLOW: Hemodynamically unstable patients may not tolerate the ...

Practical Considerations for CRRT Helen Currier RN, BSN, CNN Nancy McAfee RN, BSN, CNN Advantages of CRRT SLOW: Hemodynamically unstable patients may not tolerate the ...

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Practical Considerations for CRRT - Practical Considerations for CRRT Helen Currier RN, BSN, CNN Nancy McAfee RN, BSN, CNN Advantages of CRRT SLOW: Hemodynamically unstable patients may not tolerate the ...

Practical Considerations for CRRT Helen Currier RN, BSN, CNN Nancy McAfee RN, BSN, CNN Advantages of CRRT SLOW: Hemodynamically unstable patients may not tolerate the ...

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Gravitation-Based Model for Information Retrieval - ... formula derived from a probabilistic model under the 2-Poisson assumption. ... Two natural assumptions: H(D): Hidden terms in document D ...

... formula derived from a probabilistic model under the 2-Poisson assumption. ... Two natural assumptions: H(D): Hidden terms in document D ...

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Mono - Title: PowerPoint Presentation - At Home with Technology: Web Page Overview Author: Anne Kolaczyk Last modified by: ABBAS Created Date: 1/19/2004 3:49:41 PM

Title: PowerPoint Presentation - At Home with Technology: Web Page Overview Author: Anne Kolaczyk Last modified by: ABBAS Created Date: 1/19/2004 3:49:41 PM

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Practical Considerations for CRRT - Advantages of CRRT SLOW: Hemodynamically unstable patients may not tolerate the rapid ultrafiltration of intermittent hemodialysis CONTINUOUS: ...

Advantages of CRRT SLOW: Hemodynamically unstable patients may not tolerate the rapid ultrafiltration of intermittent hemodialysis CONTINUOUS: ...

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Sphinx ? ???????? ? ??????? PowerPoint PPT Presentation

Sphinx ? ???????? ? ??????? - Sphinx ??? ?????????????? ?????????. ????? ??????. ????????, ????????????? ???????? ... ???? ipod, ????????? ?? ????... ...? ??????????. ????? ????????? ???????????? ...

Sphinx ??? ?????????????? ?????????. ????? ??????. ????????, ????????????? ???????? ... ???? ipod, ????????? ?? ????... ...? ??????????. ????? ????????? ???????????? ...

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??????? Sphinx-? - Title: Author: Andrew Aksyonoff Last modified by: Andrew Aksyonoff Created Date

Title: Author: Andrew Aksyonoff Last modified by: Andrew Aksyonoff Created Date

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WP2:%20Evaluation%20Infrastructure%20-%20Task%202.3:%20Data%20Processing PowerPoint PPT Presentation

WP2:%20Evaluation%20Infrastructure%20-%20Task%202.3:%20Data%20Processing - LEC Power Translator. Hagen (1st monolingual German) GIRSA (GIR by semantic annotation) ... SINTRAM (Sinai Translation Module) Location index (Ling Pipe for NER ...

LEC Power Translator. Hagen (1st monolingual German) GIRSA (GIR by semantic annotation) ... SINTRAM (Sinai Translation Module) Location index (Ling Pipe for NER ...

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Multiple Retrieval Models and Regression Models for Prior Art Search - Participating institution: Humboldt Universit t zu Berlin - IDSL. Patrice Lopez. also at EPO ... Searching Scientific and Technical Documents. Issues related to ...

Participating institution: Humboldt Universit t zu Berlin - IDSL. Patrice Lopez. also at EPO ... Searching Scientific and Technical Documents. Issues related to ...

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Computing Pairwise Document Similarity in Large Collections: A MapReduce Perspective PowerPoint PPT Presentation

Computing Pairwise Document Similarity in Large Collections: A MapReduce Perspective - Efficiency (disk space) 8 trillion intermediate pairs ... this for you and if you need me call me on my cell phone. sheila.walton@enron.com ...

Efficiency (disk space) 8 trillion intermediate pairs ... this for you and if you need me call me on my cell phone. sheila.walton@enron.com ...

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Cross-Language Information Retrieval PowerPoint PPT Presentation

Cross-Language Information Retrieval - ... se//0.31 demande//0.24 demander//0.08 peut//0.07 merveilles//0.04 question//0.02 savoir//0.02 on//0.02 bien//0.01 merveille//0.01 pourrait//0.01 Unidirectional: ...

... se//0.31 demande//0.24 demander//0.08 peut//0.07 merveilles//0.04 question//0.02 savoir//0.02 on//0.02 bien//0.01 merveille//0.01 pourrait//0.01 Unidirectional: ...

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Personalizing Web Search PowerPoint PPT Presentation

Personalizing Web Search - http://mail.yahoo.com/inbox/msg10. http://mail.yahoo.com/inbox/msg10. http://mail.yahoo.com/inbox/msg10 1 1. Best Parameter Settings ...

http://mail.yahoo.com/inbox/msg10. http://mail.yahoo.com/inbox/msg10. http://mail.yahoo.com/inbox/msg10 1 1. Best Parameter Settings ...

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Information Retrieval using Word Senses: Root Sense Tagging Approach PowerPoint PPT Presentation

Information Retrieval using Word Senses: Root Sense Tagging Approach - A general problem in natural language ... Root sense : one of 25 Beginner senses of noun hierarchy in WordNet ... Utilize 25 unique beginner senses in WordNet ...

A general problem in natural language ... Root sense : one of 25 Beginner senses of noun hierarchy in WordNet ... Utilize 25 unique beginner senses in WordNet ...

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Seesaw Personalized Web Search PowerPoint PPT Presentation

Seesaw Personalized Web Search - Based on standard tf.idf. web search retrieval ir hunt. 1.3. Calculating a Document's Score ... All three agree only for www.microsoft.com. Inter-rater reliability: 56 ...

Based on standard tf.idf. web search retrieval ir hunt. 1.3. Calculating a Document's Score ... All three agree only for www.microsoft.com. Inter-rater reliability: 56 ...

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Efficient Approximate Search on String Collections Part I PowerPoint PPT Presentation

Efficient Approximate Search on String Collections Part I - Efficient Approximate Search on String Collections Part I Marios Hadjieleftheriou Chen Li * * * * Variable-length grams (VGRAM) [LWY07,YWL08] * Next # of common ...

Efficient Approximate Search on String Collections Part I Marios Hadjieleftheriou Chen Li * * * * Variable-length grams (VGRAM) [LWY07,YWL08] * Next # of common ...

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Keith van Rijsbergen PowerPoint PPT Presentation

Keith van Rijsbergen - Commercial successes and failures. Caveats. Why we have survived. ... 1983 - Okapi started. 1985 RIAO-1. 1986 CvR logic model. 1990 Deerwester et al,LSI paper ...

Commercial successes and failures. Caveats. Why we have survived. ... 1983 - Okapi started. 1985 RIAO-1. 1986 CvR logic model. 1990 Deerwester et al,LSI paper ...

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Tech W Shop 1998 5kv PowerPoint PPT Presentation

Tech W Shop 1998 5kv - MEGGER BM11D Portable, IP54 , large PbAcid battery Readings to 500 GOhm Display is large, clear & Easy to Use Safety features Automatic discharge, ...

MEGGER BM11D Portable, IP54 , large PbAcid battery Readings to 500 GOhm Display is large, clear & Easy to Use Safety features Automatic discharge, ...

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Personalized%20Web%20Search%20Uncommon%20Responses%20to%20Common%20Queries PowerPoint PPT Presentation

Personalized%20Web%20Search%20Uncommon%20Responses%20to%20Common%20Queries - Irrelevant. Rater 1. Rater 2. Same Results Rated Differently. Average inter-rater reliability: 56 ... 31/50 rated as not irrelevant. Only 6/31 do more than one agree ...

Irrelevant. Rater 1. Rater 2. Same Results Rated Differently. Average inter-rater reliability: 56 ... 31/50 rated as not irrelevant. Only 6/31 do more than one agree ...

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Identifying and Ranking Relevant Document Elements PowerPoint PPT Presentation

Identifying and Ranking Relevant Document Elements - Convert the topic into a Boolean expression. Annotate the accumulators ... Decompress only those dn needed. Nodes to Use. Build a big list of tags and children nodes ...

Convert the topic into a Boolean expression. Annotate the accumulators ... Decompress only those dn needed. Nodes to Use. Build a big list of tags and children nodes ...

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Improving Revenue by System Integration and Cooperative Optimization - Improving Revenue by System Integration and Cooperative ...

Improving Revenue by System Integration and Cooperative ...

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Advance Information Retrieval Topics PowerPoint PPT Presentation

Advance Information Retrieval Topics - Users enter their query in one language and the search engine retrieves relevant ... The Different Levels of Language Analysis. 1-Phonetic or Phonological Level ...

Users enter their query in one language and the search engine retrieves relevant ... The Different Levels of Language Analysis. 1-Phonetic or Phonological Level ...

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An Efficient and Versatile Query Engine for TopX Search - An Efficient and Versatile Query Engine for TopX Search. 2 ... In-memory structural joins (nested loops, staircase, or holistic twig joins) ...

An Efficient and Versatile Query Engine for TopX Search. 2 ... In-memory structural joins (nested loops, staircase, or holistic twig joins) ...

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Vector Space Model PowerPoint PPT Presentation

Vector Space Model - Vector Space Model Rong Jin * * Choosing Bases for VSM Modify the bases of the vector space Each basis is a concept: a group of words Every document is a mixture of ...

Vector Space Model Rong Jin * * Choosing Bases for VSM Modify the bases of the vector space Each basis is a concept: a group of words Every document is a mixture of ...

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Efficient Approximate Search on String Collections Part I - Efficient Approximate Search on String ... mat e. s. 2. s. del e. sa. 2. s. sub e/a. sa. 3. sa. del e. Active nodes for Q = e. Active nodes for Q = e ...

Efficient Approximate Search on String ... mat e. s. 2. s. del e. sa. 2. s. sub e/a. sa. 3. sa. del e. Active nodes for Q = e. Active nodes for Q = e ...

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Title Extraction from Bodies of HTML Documents and its Application to Web Page Retrieval PowerPoint PPT Presentation

Title Extraction from Bodies of HTML Documents and its Application to Web Page Retrieval - Font size, font weight, etc are noticeable. Can cross several ... Relations with root node, parent node and sibling nodes in terms of font size change, etc. ...

Font size, font weight, etc are noticeable. Can cross several ... Relations with root node, parent node and sibling nodes in terms of font size change, etc. ...

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Sphinx - High-performance full-text search for MySQL Andrew Aksyonoff, shodan@shodan.ru Peter Zaitsev, pz@percona.com What s Sphinx? FOSS full-text search engine Specially ...

High-performance full-text search for MySQL Andrew Aksyonoff, shodan@shodan.ru Peter Zaitsev, pz@percona.com What s Sphinx? FOSS full-text search engine Specially ...

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Searching and Browsing Using Tags PowerPoint PPT Presentation

Searching and Browsing Using Tags - The model is independent of the resource being shared. Music (Last.fm) Photos (Flickr) ... Hierarchical browsing: browse in a top-down fashion. Semantic Browsing ...

The model is independent of the resource being shared. Music (Last.fm) Photos (Flickr) ... Hierarchical browsing: browse in a top-down fashion. Semantic Browsing ...

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Prof. Ray Larson PowerPoint PPT Presentation

Prof. Ray Larson - Lecture 8: Probabilistic IR and Relevance Feedback SIMS 202: Information Organization and Retrieval Prof. Ray Larson & Prof. Marc Davis UC Berkeley SIMS

Lecture 8: Probabilistic IR and Relevance Feedback SIMS 202: Information Organization and Retrieval Prof. Ray Larson & Prof. Marc Davis UC Berkeley SIMS

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??????? Sphinx-? - Sphinx

Sphinx

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XRANK: Ranked Keyword Search over XML Documents PowerPoint PPT Presentation

XRANK: Ranked Keyword Search over XML Documents - Stack to store current Dewey-ID, ranks, position List, longest common prefixes : deweyStack ... Compute a list of results for each of query keywords and ...

Stack to store current Dewey-ID, ranks, position List, longest common prefixes : deweyStack ... Compute a list of results for each of query keywords and ...

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The CLEF 2003 cross language image retrieval task PowerPoint PPT Presentation

The CLEF 2003 cross language image retrieval task - A pilot experiment in CLEF 2003. Called ImageCLEF. Combination of image retrieval and CLIR ... Fifty user needs (topics) ... plus ISJ. Relevance. assessments ...

A pilot experiment in CLEF 2003. Called ImageCLEF. Combination of image retrieval and CLIR ... Fifty user needs (topics) ... plus ISJ. Relevance. assessments ...

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Focused Crawling for both Topical Relevance and Quality of Medical Information PowerPoint PPT Presentation

Focused Crawling for both Topical Relevance and Quality of Medical Information - Using evidence-based medicine, and. Using Relevance Feedback (RF) ... Cut-off points at the lowest-ranked term that appears in the evidence-based treatment list ...

Using evidence-based medicine, and. Using Relevance Feedback (RF) ... Cut-off points at the lowest-ranked term that appears in the evidence-based treatment list ...

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Nuno Cardoso, Bruno Martins, Marcirio Chaves, PowerPoint PPT Presentation

Nuno Cardoso, Bruno Martins, Marcirio Chaves, - Nuno Cardoso, Bruno Martins, Marcirio Chaves, Leonardo Andrade and M rio J. Silva ... Goal: Develop a stable testbed to test GIR approaches ...

Nuno Cardoso, Bruno Martins, Marcirio Chaves, Leonardo Andrade and M rio J. Silva ... Goal: Develop a stable testbed to test GIR approaches ...

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FuFaIR: a Fuzzy Farsi Information Retrieval System PowerPoint PPT Presentation

FuFaIR: a Fuzzy Farsi Information Retrieval System - Classic music in Iran. Cancer treatment methods. The ... The Bidel music group concert. ?????? ?????? ?? ?????. ?????? ????? ?????. ?????? ?????? ?? ??? ...

Classic music in Iran. Cancer treatment methods. The ... The Bidel music group concert. ?????? ?????? ?? ?????. ?????? ????? ?????. ?????? ?????? ?? ??? ...

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CDVP - CDVP & TRECVID-2003 Interactive Search Task Experiments Paul Browne, Georgina Gaughan, Cathal Gurrin, Gareth J.F. Jones, Hyowon Lee, Sean Marlow, Kieran Mc Donald ...

CDVP & TRECVID-2003 Interactive Search Task Experiments Paul Browne, Georgina Gaughan, Cathal Gurrin, Gareth J.F. Jones, Hyowon Lee, Sean Marlow, Kieran Mc Donald ...

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Personalized Search on the Client Side PowerPoint PPT Presentation

Personalized Search on the Client Side - Prof. Gerhard Weikum Julia Luxenburger. 11/3/09. 2. About me. Name: Shady Elbassuoni ... A set of user's activities (Browsing and Queries) within a certain time ...

Prof. Gerhard Weikum Julia Luxenburger. 11/3/09. 2. About me. Name: Shady Elbassuoni ... A set of user's activities (Browsing and Queries) within a certain time ...

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N-Gram and Local Context Analysis for Persian text retrieval PowerPoint PPT Presentation

N-Gram and Local Context Analysis for Persian text retrieval - Tehran University N-Gram and Local Context Analysis for Persian text retrieval Abolfazl AleAhmad, Parsia Hakimian, Farzad Mahdikhani School of Electrical and Computer ...

Tehran University N-Gram and Local Context Analysis for Persian text retrieval Abolfazl AleAhmad, Parsia Hakimian, Farzad Mahdikhani School of Electrical and Computer ...

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Information Retrieval at NLC PowerPoint PPT Presentation

Information Retrieval at NLC - Guihong Cao, Tianjin University, China. Hongzhao He, Tianjin University, China ... Jian-Yun Nie, Universit de Montr al. Stephen Robertson, Microsoft Research, ...

Guihong Cao, Tianjin University, China. Hongzhao He, Tianjin University, China ... Jian-Yun Nie, Universit de Montr al. Stephen Robertson, Microsoft Research, ...

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Lattice-Based Statistical Spoken Document Retrieval PowerPoint PPT Presentation

Lattice-Based Statistical Spoken Document Retrieval - Good IR systems give higher scores to more relevant docs. ... E.g. music ('query by humming') (Zhu et al. 2003); images (Vu et al. 2003) ...

Good IR systems give higher scores to more relevant docs. ... E.g. music ('query by humming') (Zhu et al. 2003); images (Vu et al. 2003) ...

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Toward Entity Retrieval over Structured and Text Data PowerPoint PPT Presentation

Toward Entity Retrieval over Structured and Text Data - ... Retrieval over Structured and Text Data ... Database) Web (text) Entity = researcher ... ER queries: 11 researchers, Q=name (no relevant text doc examples) ...

... Retrieval over Structured and Text Data ... Database) Web (text) Entity = researcher ... ER queries: 11 researchers, Q=name (no relevant text doc examples) ...

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Not So Surprising Anymore: Hindi from TIDES to FIRE PowerPoint PPT Presentation

Not So Surprising Anymore: Hindi from TIDES to FIRE - Observed exponential growth in usage (before prizes ended) ... Rewards only given for proven high quality work already performed (prizes not salary) ...

Observed exponential growth in usage (before prizes ended) ... Rewards only given for proven high quality work already performed (prizes not salary) ...

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Sphinx - By more efficient processing (in some cases) By distributed processing on a cluster (in all) ... 7 boxes x 2 dual-core CPUs = 28 cores. Busiest known Sphinx cluster ...

By more efficient processing (in some cases) By distributed processing on a cluster (in all) ... 7 boxes x 2 dual-core CPUs = 28 cores. Busiest known Sphinx cluster ...

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Bm25 PowerPoint PPT Presentations