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Personalization in text information retrieval: A survey
Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual
users and user groups by taking account of additional information about users besides their …
users and user groups by taking account of additional information about users besides their …
Evaluation in contextual information retrieval: Foundations and recent advances within the challenges of context dynamicity and data privacy
L Tamine, M Daoud - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Context such as the user's search history, demographics, devices, and surroundings, has
become prevalent in various domains of information seeking and retrieval such as mobile …
become prevalent in various domains of information seeking and retrieval such as mobile …
Search structures and algorithms for personalized ranking
As data of an unprecedented scale are becoming accessible on the Web, personalization, of
narrowing down the retrieval to meet the user-specific information needs, is becoming more …
narrowing down the retrieval to meet the user-specific information needs, is becoming more …
Learning SVM ranking functions from user feedback using document metadata and active learning in the biomedical domain
R Arens - Preference learning, 2010 - Springer
Abstract Information overload is a well-known problem facing biomedical professionals.
MEDLINE, the biomedical bibliographic database, adds hundreds of articles daily to the …
MEDLINE, the biomedical bibliographic database, adds hundreds of articles daily to the …
[BOEK][B] Learning to rank documents with support vector machines via active learning
RJ Arens - 2009 - search.proquest.com
Navigating through the debris of the information explosion requires powerful, flexible search
tools. These tools must be both useful and useable; that is, they must do their jobs effectively …
tools. These tools must be both useful and useable; that is, they must do their jobs effectively …
An attentive self-organizing neural model for text mining
This paper utilizes an attention concept approach in text mining to address the deficiencies
of existing keyword search engines. We show how an attention concept in conjunction with a …
of existing keyword search engines. We show how an attention concept in conjunction with a …
Building a knowledge portal for communities based on personalized functionalities
Over the last decade portals have become an important facet of the Web and of structured
communities like companies. This paper presents a knowledge portal that has been …
communities like companies. This paper presents a knowledge portal that has been …
A service-based Architecture for Multi-domain Search on the Web
Current search engines lack in support for multi-domain queries, ie, queries that can be
answered by combining information from two or more knowledge domains. Questions such …
answered by combining information from two or more knowledge domains. Questions such …