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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....
Graph Query Reformulation with Diversity
Graph Query Reformulation with Diversity
by alida-meadow
Davide Mottin, University of Trento. Francesco . ...
Extracting Query Facets From Search Results
Extracting Query Facets From Search Results
by celsa-spraggs
Date. . :. . 2013/08/20. Source. . :. . SIGIR...
Query Suite
Query Suite
by sophia
NuVuMany businesses are not receiving the desired ...
Advanced Query Paradigms
Advanced Query Paradigms
by olivia-moreira
for the Novice User. Davide Mottin, PhD Defense. ...
Query Logs – Used everywhere and for everything
Query Logs – Used everywhere and for everything
by liane-varnes
Sai . Vallurupalli. What are query logs useful fo...
DQR: A Probabilistic Approach to Diversified Query Recommen
DQR: A Probabilistic Approach to Diversified Query Recommen
by lindy-dunigan
Ruirui. Li, Ben Kao, Bin Bi, . Reynold. Cheng, ...
Understanding Query Ambiguity
Understanding Query Ambiguity
by pamella-moone
Jaime Teevan, Susan Dumais, Dan Liebling. Microso...
Advanced Query Processing
Advanced Query Processing
by min-jolicoeur
Dr. Susan Gauch. Query Term Weights. . The vecto...
Search Query Log Analysis
Search Query Log Analysis
by olivia-moreira
Kristina . Lerman. What can we learn from web sea...
Search Query Log Analysis
Search Query Log Analysis
by tatiana-dople
Kristina . Lerman. What can we learn from web sea...
Information Re-Retrieval
Information Re-Retrieval
by briana-ranney
Repeat Queries in Yahoo’s Logs. Jaime Teevan (M...
DivText
DivText
by pamella-moone
. . Bahaeddin. ERAVCI,. . Emre. YILMAZ,. I...
Interpreting Advertiser Intent in Sponsored Search
Interpreting Advertiser Intent in Sponsored Search
by tawny-fly
Bhanu C Vattikonda, Santhosh . kodipaka. , . hong...
Utility of Considering
Utility of Considering
by calandra-battersby
M. ultiple . A. lternative . R. ectifications in ...
Relevance Feedback for the
Relevance Feedback for the
by tatiana-dople
Earth Mover‘s Distance. Marc Wichterich. , Chri...
Information Re-Retrieval
Information Re-Retrieval
by karlyn-bohler
Repeat Queries in Yahoo’s Logs. Jaime Teevan (M...
Question Answer System
Question Answer System
by sherrill-nordquist
Deliverable #2. Jonggun Park . Haotian. He. Mari...
Named Entity Recognition in Query
Named Entity Recognition in Query
by karlyn-bohler
Jiafeng Guo. 1. , . Gu. Xu. 2. , . Xueqi. Cheng...
Advanced Search Features
Advanced Search Features
by conchita-marotz
Dr. Susan Gauch. Pruning Search Results. If a que...
Task-Aware Materialization for Fast Data Analytics
Task-Aware Materialization for Fast Data Analytics
by aryan
Shaleen. Deep. shaleen. @. cs.wisc.edu. Wisconsin...
Diversifying Query Results on Semi-Structured Data
Diversifying Query Results on Semi-Structured Data
by tatyana-admore
Md. . Mahbub. . Hasan. University of California,...
Diversifying Query Results on Semi-Structured Data
Diversifying Query Results on Semi-Structured Data
by faustina-dinatale
Md. . Mahbub. . Hasan. University of California,...
Keyword-based Search and Exploration on Databases
Keyword-based Search and Exploration on Databases
by faustina-dinatale
Yi Chen. Wei Wang. Ziyang. Liu. University of Ne...
CS276 Information Retrieval and Web Search
CS276 Information Retrieval and Web Search
by marina-yarberry
Hugh E. Williams. hugh@hughwilliams.com. http. :/...
Previous Lecture:
Previous Lecture:
by calandra-battersby
Sequence Alignment . Concepts. Introduction to Bi...
Data Structures:
Data Structures:
by kittie-lecroy
Range . Queries - Space Efficiency. Pooya Davoodi...
Chen Li (
Chen Li (
by giovanna-bartolotta
李晨. ). Chen . Li. Scalable Interactive Search...
Mario A. Nascimento
Mario A. Nascimento
by trish-goza
Univ. of Alberta, Canada. http: //. www.cs.ualber...
Deciphering Trends In Mobile Search
Deciphering Trends In Mobile Search
by faustina-dinatale
Authors: . Maryam. . Kamvar. and . Shumeet. . ...
When Data Management Systems Meet Approximate
When Data Management Systems Meet Approximate
by phoebe-click
Hardware: Challenges and Opportunities. Author. :...
Toward Whole-Session Relevance:
Toward Whole-Session Relevance:
by min-jolicoeur
Exploring . Intrinsic Diversity . in . Web Search...
1 Online Feature Selection for Information Retrieval
1 Online Feature Selection for Information Retrieval
by briana-ranney
Niranjan Balasubramanian. University of Massachus...
Finding Application Errors and Security Flaws Using
Finding Application Errors and Security Flaws Using
by tatyana-admore
PQL. : . A Program Query Language. Michael Martin...
Step-by-Step
Step-by-Step
by lindy-dunigan
Building . Search . Driven Applications That Matt...
Exploring Reduction for Long Web Queries
Exploring Reduction for Long Web Queries
by luanne-stotts
Niranjan. . Balasubramanian. , . Giridhar. . Ku...
SharePoint 2010
SharePoint 2010
by stefany-barnette
Enterprise Search. Dominique Verhaeghe. Technolog...
IR Theory:
IR Theory:
by faustina-dinatale
Relevance Feedback . Relevance Feedback: . Exampl...
Optimize
Optimize
by olivia-moreira
Search Relevance in SharePoint 2013 . Victor Poz...
MICROSOFT ACCESS –
MICROSOFT ACCESS –
by ellena-manuel
CHAPTER . 3 CONTD.. Sravanthi Lakkimsetty. salakk...