Search Results for 'Query-Ranking'

Query-Ranking published presentations and documents on DocSlides.

Temporal Query Log Profiling to Improve Web Search Ranking

Temporal Query Log Profiling to Improve Web Search Ranking

by alexa-scheidler

Alexander . Kotov. (UIUC). . Pranam. . Kolari....

Trust and Profit Sensitive Ranking for Web Databases and On-line Advertisements

Trust and Profit Sensitive Ranking for Web Databases and On-line Advertisements

by isabella2

Raju . Balakrishnan. . rajub@asu.edu. (PhD Disser...

Trust and Profit Sensitive Ranking for Web Databases and On

Trust and Profit Sensitive Ranking for Web Databases and On

by phoebe-click

Raju . Balakrishnan. . rajub@asu.edu. (PhD Disse...

1 Ranked Queries over sources

1 Ranked Queries over sources

by saul

with Boolean Query Interfaces . without Ranking Su...

RAProp : Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem

RAProp : Ranking Tweets by Exploiting the Tweet/User/Web Ecosystem

by badra

and . Inter-Tweet Agreement . Srijith. . Ravikuma...

Mining the Search Trails of Surfing Crowds:

Mining the Search Trails of Surfing Crowds:

by karlyn-bohler

Identifying Relevant Websites. from User Activity...

Learning to Rank

Learning to Rank

by test

for Information Retrieval. This Talk. Learning to...

by phoebe-click

. Schütze. and Christina . Lioma. Lecture 7: S...

1 Online Feature Selection for Information Retrieval

1 Online Feature Selection for Information Retrieval

by briana-ranney

Niranjan Balasubramanian. University of Massachus...

PAPER Learning to Personalize Query

PAPER Learning to Personalize Query

by olivia-moreira

Auto-Completion. Sandesh Sanjay Gade. Milad . Sho...

TECHNICAL REPORTBest practices in ranking emerging infectious disease

TECHNICAL REPORTBest practices in ranking emerging infectious disease

by quinn

ECDC TECHNICAL REPORT Best practices in ranking em...

The Comfort of Clarity University Rankings and the Demand for Suspect Commodities

The Comfort of Clarity University Rankings and the Demand for Suspect Commodities

by blastoracle

Wendy Espeland. . Northwestern University. Prepar...

Personalized Ranking Model Adaptation for Web Search

Personalized Ranking Model Adaptation for Web Search

by danika-pritchard

Hongning Wang. 1. , . Xiaodong. He. 2. , . Ming-...

Supervised ranking hash for semantic similarity search

Supervised ranking hash for semantic similarity search

by lindy-dunigan

Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph...

New BISFed World Ranking System

New BISFed World Ranking System

by luanne-stotts

2017- 2020. System Release Update (December 2017)...

The Comfort of Clarity University Rankings and the Demand for Suspect Commodities

The Comfort of Clarity University Rankings and the Demand for Suspect Commodities

by cheryl-pisano

Wendy Espeland. . Northwestern University. Prepa...

County Health Rankings & Roadmaps

County Health Rankings & Roadmaps

by aaron

: . moving from data to Action. Julie A. Willems ...

Does resident recruitment ranking predict subsequent perfor

Does resident recruitment ranking predict subsequent perfor

by sherrill-nordquist

Jonathan Fryer, Noreen Corcoran, . Brian George, ...

The mathematics of ranking sports teams

The mathematics of ranking sports teams

by conchita-marotz

W. ho’s #1?. Jonathon Peterson. Purdue Universi...

List Ranking on GPUs

List Ranking on GPUs

by conchita-marotz

Sathish. . Vadhiyar. List Ranking on GPUs. Linke...

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

by faith

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

Enrich Query Representation by Query Understanding

Enrich Query Representation by Query Understanding

by yoshiko-marsland

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

Evaluation Chris Manning and Pandu Nayak

Evaluation Chris Manning and Pandu Nayak

by lam

CS276 – Information Retrieval and Web Search. Si...

CS344: Introduction to Artificial Intelligence

CS344: Introduction to Artificial Intelligence

by giovanna-bartolotta

Vishal. . Vachhani. M.Tech. , CSE. Lecture . 34-...

CS276: Information Retrieval and Web Search

CS276: Information Retrieval and Web Search

by karlyn-bohler

Christopher . Manning and . Pandu . Nayak. Lectur...

Term Weighting and Ranking Models

Term Weighting and Ranking Models

by byrne

Debapriyo Majumdar. Information Retrieval – Spri...

Reply With: Suggesting Email Attachments

Reply With: Suggesting Email Attachments

by liane-varnes

November 2017. Nicola Cancedda. Responding to a F...

Search Engines Information Retrieval in Practice

Search Engines Information Retrieval in Practice

by danika-pritchard

All slides ©Addison Wesley, 2008. Search Engine ...

Search Engines Information Retrieval in Practice

Search Engines Information Retrieval in Practice

by olivia-moreira

All slides ©Addison Wesley, 2008. Retrieval Mode...

A Task-based Framework for

A Task-based Framework for

by conchita-marotz

User Behavior Modeling and Search Personalization...

Scores in a Complete Search System

Scores in a Complete Search System

by liane-varnes

CSE 538. MRS BOOK – CHAPTER VII. 1. Overview. ...

Link Analysis Ranking

Link Analysis Ranking

by test

How do search engines decide how to rank your que...

by conchita-marotz

. Models. . 1. Overview. . Probabilistic Appro...

Traditional IR models

Traditional IR models

by test

Jian-Yun . Nie. Main IR processes. Last lecture: ...

by myesha-ticknor

Information Retrieval in Practice. All slides ©A...

Retrieval Models and Ranking Systems

Retrieval Models and Ranking Systems

by olivia-moreira

CSC 575. Intelligent Information Retrieval. Intel...

by pamella-moone

. Schütze. and Christina . Lioma. Lecture . 11...

by trish-goza

Max Planck Institute for Informatics. http://www....

by briana-ranney

. Abdullah . Alotayq. , Dong Wang, Ed Pham. A Ba...

by calandra-battersby

. Schütze. and Christina . Lioma. Lecture . 15...