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Enrich Query Representation by Query Understanding

Enrich Query Representation by Query Understanding

  • yoshiko-marsland
  • 26 Slides

Gu Xu. Microsoft Research Asia. Mismatching Probl...

Course Introduction Welcome to PeopleSoft Query! PeopleSoft Query is a data extraction tool that al

Course Introduction Welcome to PeopleSoft Query! PeopleSoft Query is a data extraction tool that al

  • faith
  • 58 Slides

Course Goal. The goal of this course is to teach e...

Lecture 2

Lecture 2

  • karlyn-bohler
  • 44 Slides

: Tolerant Retrieval. 楊立偉教授. 台灣科...

Analytical

Analytical

  • tawny-fly
  • 36 Slides

Queries on Road Networks: . An Experimental Evalu...

Relevance Feedback for the

Relevance Feedback for the

  • tatiana-dople
  • 22 Slides

Earth Mover‘s Distance. Marc Wichterich. , Chri...

Hinrich

Hinrich

  • celsa-spraggs
  • 116 Slides

. Schütze. and Christina . Lioma. Lecture 3: D...

Hinrich Schütze and Christina

Hinrich Schütze and Christina

  • calandra-battersby
  • 0 Slides

Lioma. Lecture 3: Dictionaries and tolerant retri...

SPELLING CORRECTION By Dr.

SPELLING CORRECTION By Dr.

  • dandy
  • 12 Slides

huda. . abdulaali. Spell correction. . Document ...

Dictionaries and Tolerant Retrieval

Dictionaries and Tolerant Retrieval

  • catherine
  • 32 Slides

Debapriyo Majumdar. Information Retrieval – Spri...

Collective Spatial Keyword Queries: A Distance Owner-Driven

Collective Spatial Keyword Queries: A Distance Owner-Driven

  • phoebe-click
  • 36 Slides

Cheng Long, Raymond Chi-Wing Wong. : The Hong Kon...

Collective Spatial Keyword Queries: A Distance Owner-Driven Approach

Collective Spatial Keyword Queries: A Distance Owner-Driven Approach

  • myesha-ticknor
  • 0 Slides

Cheng Long, Raymond Chi-Wing Wong. : The Hong Kon...

Handheld Laser Distance Meter Market Forecast- Global Review 2019-2027

Handheld Laser Distance Meter Market Forecast- Global Review 2019-2027

  • nimittmr
  • 9 Slides

Handheld laser distance meters are rapidly replac...

Context-Sensitive Query

Context-Sensitive Query

  • liane-varnes
  • 15 Slides

Auto-Completion. Authors:Naama. . Kraus and . Zi...

30 technical tips and tricks to speed query, report, and da

30 technical tips and tricks to speed query, report, and da

  • briana-ranney
  • 61 Slides

Dr. Bjarne Berg . 3. What We’ll Cover …. . I...

Query Logs – Used everywhere and for everything

Query Logs – Used everywhere and for everything

  • liane-varnes
  • 8 Slides

Sai . Vallurupalli. What are query logs useful fo...

PIQL: Success- Tolerant Query Processing in the Cloud

PIQL: Success- Tolerant Query Processing in the Cloud

  • debby-jeon
  • 30 Slides

Michael . Armbrust. , Kristal Curtis, Tim . Krask...

Query Optimization Techniques and Performance Issues in XML

Query Optimization Techniques and Performance Issues in XML

  • calandra-battersby
  • 35 Slides

CSE 8330. Instructor: . Dr.Margaret. H. Dunham. ...

Deep Dive into the Power Query Formula Language

Deep Dive into the Power Query Formula Language

  • celsa-spraggs
  • 41 Slides

Matt Masson. Tessa Palmer. DBI-B410. Agenda. Over...

Building Confidential and Efficient Query Services in the C

Building Confidential and Efficient Query Services in the C

  • lindy-dunigan
  • 13 Slides

Abstract. With the wide deployment of public clou...

Guiding Your Query Plans in Microsoft SQL Server for Improv

Guiding Your Query Plans in Microsoft SQL Server for Improv

  • karlyn-bohler
  • 38 Slides

Gail Shaw. XpertEase. DAT 305 . Topics. Backgroun...

Graph Query Reformulation with Diversity

Graph Query Reformulation with Diversity

  • alida-meadow
  • 23 Slides

Davide Mottin, University of Trento. Francesco . ...

Query Processing:

Query Processing:

  • liane-varnes
  • 78 Slides

Query Formulation. Ling573. NLP Systems and Appli...

Query Processing

Query Processing

  • tawny-fly
  • 24 Slides

A query is stated using SQL or other languages, i...

Query Rewriting Using Monolingual Statistical Machine Trans

Query Rewriting Using Monolingual Statistical Machine Trans

  • tatyana-admore
  • 17 Slides

Stefan . Riezler. Yi Liu. Google. 2010 Associatio...

Query Optimization

Query Optimization

  • lindy-dunigan
  • 54 Slides

Query Optimization Process. (simplified a bit). P...

Generating Query Substitutions

Generating Query Substitutions

  • pasty-toler
  • 24 Slides

Alicia Wood. What is the . problem. to be solved...

Exploring Web Scale Language Models for Search Query Proces

Exploring Web Scale Language Models for Search Query Proces

  • lindy-dunigan
  • 51 Slides

Jianfeng Gao, MSR. (Joint work with . Jian. Huan...

30 technical tips and tricks to speed query, report, and da

30 technical tips and tricks to speed query, report, and da

  • tawny-fly
  • 61 Slides

Dr. Bjarne Berg . 3. What We’ll Cover …. . I...

DQR: A Probabilistic Approach to Diversified Query Recommen

DQR: A Probabilistic Approach to Diversified Query Recommen

  • lindy-dunigan
  • 39 Slides

Ruirui. Li, Ben Kao, Bin Bi, . Reynold. Cheng, ...

Extracting Query Facets From Search Results

Extracting Query Facets From Search Results

  • celsa-spraggs
  • 35 Slides

Date. . :. . 2013/08/20. Source. . :. . SIGIR...

Gestural Query Specification

Gestural Query Specification

  • ellena-manuel
  • 23 Slides

Arnab. Nandi, . Lilong. Jiang, Michael Mandel. ...

Advanced Query Paradigms

Advanced Query Paradigms

  • olivia-moreira
  • 96 Slides

for the Novice User. Davide Mottin, PhD Defense. ...

Finding Probabilistic Nearest Neighbors for Query Objects w

Finding Probabilistic Nearest Neighbors for Query Objects w

  • pamella-moone
  • 39 Slides

Yuichi Iijima and . Yoshiharu Ishikawa. Nagoya Un...

Visualization Knowledge Query Language (VKQL) Workshop

Visualization Knowledge Query Language (VKQL) Workshop

  • danika-pritchard
  • 30 Slides

Nicholas Del . Rio. University of Texas at El Pas...

ICICLES: Self-tuning Samples for Approximate Query Answerin

ICICLES: Self-tuning Samples for Approximate Query Answerin

  • tatiana-dople
  • 27 Slides

By Venkatesh Ganti, Mong Li Lee, and Raghu Ramakr...

ICICLES: Self-tuning Samples for Approximate Query Answerin

ICICLES: Self-tuning Samples for Approximate Query Answerin

  • ellena-manuel
  • 30 Slides

By . Venkatesh. . Ganti. , . Mong. Li Lee, and ...

Query-by-Humming Basado en Modelos Ocultos de Márkov

Query-by-Humming Basado en Modelos Ocultos de Márkov

  • stefany-barnette
  • 49 Slides

I v á n L ó p e z E s p e j o. PROYECTO FIN...

Troubleshooting SQL Server Spatial Query Performance:

Troubleshooting SQL Server Spatial Query Performance:

  • pamella-moone
  • 51 Slides

A . Deep Dive into Spatial Indexing. Michael Rys....

Log Based Query Recommendation

Log Based Query Recommendation

  • pamella-moone
  • 40 Slides

Speaker: . Rui-Rui. Li. Supervisor: Prof. Ben Ka...

A Two-Dimensional Click Model for Query

A Two-Dimensional Click Model for Query

  • briana-ranney
  • 26 Slides

Auto-Completion . Yanen. Li. 1. , . Anlei. Dong...

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