Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

8

CORR
2004
Springer

favoriteEmaildiscussreport

93views Education» more CORR 2004»

A Search Relevancy Tuning Method Using Expert Results Content Evaluation

13 years 4 months ago

A Search Relevancy Tuning Method Using Expert Results Content Evaluation

Download tylevich.ru

1 The article presents an online relevancy tuning method using explicit user feedback. The author developed and tested a method of words' weights modification based on search result evaluation by user. User decides whether the result is useful or not after inspecting the full result content. The experiment proved that the constantly accumulated words weights base leads to better search quality in a specified data domain. The author also suggested future improvements of the method.

Boris Mark Tylevich

Real-time Traffic

CORR 2004 | Education | Explicit User Feedback | Relevancy Tuning Method | User |

claim paper

Related Content

» Expert agreement and content based reranking in a meta search environment using Mearf

» Reranking search results using query logs

» ContentOriented Relevance Feedback in XMLIR Using the Garnata Information Retrieval System

» Using PseudoRelevance Feedback to Improve Image Retrieval Results

» Relevance Propagation for Topic Distillation UIUC TREC 2003 Web Track Experiments

» Discriminating the relevance of web search results with measures of pupil size

» Towards contentbased relevance ranking for video search

» Comparison of Feature Construction Methods for Video Relevance Prediction

» Expert Search Evaluation by Supporting Documents

Post Info
More Details (n/a)

Added	17 Dec 2010
Updated	17 Dec 2010
Type	Journal
Year	2004
Where	CORR
Authors	Boris Mark Tylevich

Comments (0)