Developing Topic-specific Search Filters for PubMed with Click-through Data
نویسندگان
چکیده
منابع مشابه
Developing topic-specific search filters for PubMed with click-through data.
OBJECTIVES Search filters have been developed and demonstrated for better information access to the immense and ever-growing body of publications in the biomedical domain. However, to date the number of filters remains quite limited because the current filter development methods require significant human efforts in manual document review and filter term selection. In this regard, we aim to inve...
متن کاملDialysis search filters for PubMed, Ovid MEDLINE, and Embase databases.
BACKGROUND AND OBJECTIVES Physicians frequently search bibliographic databases, such as MEDLINE via PubMed, for best evidence for patient care. The objective of this study was to develop and test search filters to help physicians efficiently retrieve literature related to dialysis (hemodialysis or peritoneal dialysis) from all other articles indexed in PubMed, Ovid MEDLINE, and Embase. DESIGN...
متن کاملClick-Through Prediction for Sponsored Search Advertising with Hybrid Models
In this paper, we report our approach of KDD Cup 2012 track 2 to predicting the click-through rate (CTR) of advertisements. To accurately predict the CTR of an ad is important for commercial search engine companies for deciding the click prices and the order of impressions. We first implemented three existing methods including Online Bayesian Probit Regression (BPR), Support Vector Machine (SVM...
متن کاملTopic Maps applied to PubMed
This paper presents a topic map approach to PubMed in order to create a knowledge representation for this information system. PubMed is a free search engine that gives very full coverage of the related biomedical sciences. With more than 17 millions of citations since 1865, PubMed users have several problems to find the papers desired. So, it is necessary to organize these concepts in a semanti...
متن کاملA tool for gene expression based PubMed search through combining data sources
UNLABELLED We present a new tool for the semi-automated querying of PubMed using a batch of tens to thousands of GenBank accession numbers or UniGene cluster ids. By combining information from UniGene and SWISS-PROT, microGENIE obtains information on the biological relevance of expressed genes, as identified by micro-array experiments, with minimal user intervention and time investment. AVAIL...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Methods of Information in Medicine
سال: 2013
ISSN: 0026-1270,2511-705X
DOI: 10.3414/me12-01-0054