![]() | |||||||||||||||||||||||||
![]() | |||||||||||||||||||||||||
![]() |
| ||||||||||||||||||||||||
![]() |
| ||||||||||||||||||||||||
![]() | |||||||||||||||||||||||||
![]() |
|
![]() |
On Evaluation Of
Adaptive Topic Tracking Systems |
![]() |
Exploring One-Sided and Two-Sided
Approaches of Adaptive Topic Tracking |
![]() |
TDT-2004: Adaptive Topic Tracking At
Maryland |
![]() |
On Evaluation Of
Adaptive Topic Tracking Systems |
![]() |
TDT-2004: Adaptive Topic Tracking At
Maryland |
Language Modeling
![]() |
A Survey on the
Use of Relevance Feedback For Information Access Systems |
![]() |
Tuning
Before Feedback: Combining Ranking Discovery and Blind Relevance Feedback W. Fan, M. Luo, L. Wang, W. Xi, and E. A. Fox, SIGIR 2004 |
![]() |
A
simulated study of implicit feedback models |
![]() |
Protecting
the Privacy of Observable Behavior in Distributed Recommender Systems |
![]() |
Implicit
Feedback for Inferring User Preference: A Bibliography |
![]() |
Modeling
Information Content Using Observable Behavior |
![]() |
Retrieval
Evaluation with Incomplete Information |
![]() |
Why Batch and
User Evaluations Do Not Give the Same Results |
![]() |
Ranking Retrieval Systems without Relevance Judgments |
![]() |
Evaluating
Evaluation Measure Stability |
![]() |
A Collaborative Filtering Algorithm and Evaluation Metric that
Accurately Model the User Experience | ||||
![]() |
Evaluating collaborative filtering recommender systems | ||||
![]() |
An
Algorithmic Framework for Performing Collaborative Filtering | ||||
![]() |
Combining
Content and Collaboration in Text Filtering | ||||
![]() |
Resources
|
Information Filtering
![]() |
The State of The Art in Text Filtering |
![]() |
Information Filtering and Information Retrieval: Two Sides of the Same
Coin? |
![]() |
Item-based Collaborative Filtering Recommendation Algorithms |
![]() |
Social Information Filtering: Algorithms for Automating "Word of Mouth" |
![]() |
Using collaborative filtering to weave an information tapestry |
![]() |
Improving Retrieval
Performance by Relevance Feedback |
![]() |
The Anatomy
of Large-Scale Hypertextual Web Search Engine |
![]() |
Efficient
Crawling Through URL Ordering |
![]() |
The PageRank Citation Ranking: Bringing Order to the Web |
![]() |
Machine Learning for Information Retrieval: Neural Networks, Symbolic
Learning, and Genetic Algorithms |
IR Systems
InQuery
![]() | |
![]() | |
![]() |
Inference networks for document retrieval |
COllaborative Filtering Engine (CoFE)
Oregon State University
![]() | |
![]() | |
![]() | |
![]() | |
![]() | |
![]() | |
![]() | |
![]() | |
![]() | |
![]() |
SIGIR
![]() | |
![]() |
![]() | Text REtrieval Conference(TREC) |
![]() | |
![]() | |
![]() | |
![]() |
Multilingual Topic Detection and Tracking: Successful Research Enabled by Corpora and Evaluation |