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Personalized search

Personalized search refers to search experiences that are tailored specifically to an individual's interests by incorporating information about the… 
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Related topics

Related topics

6 relations
Claria CorporationCyberbullyingHealth 2.0Search engine optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
A Novel Approach for Ontology Focused Inter- Domain Personalized Search based on Semantic Set Expansion
The Web is overloaded with information and its exploration and retrieval is quite tedious is a cumbersome task. In the era of… 
Highly Cited
2014
Highly Cited
2014
Adapting deep RankNet for personalized search
RankNet is one of the widely adopted ranking models for web search tasks. However, adapting a generic RankNet for personalized… 
Highly Cited
2013
Highly Cited
2013
Knowledge-based scheme to create privacy-preserving but semantically-related queries for web search engines
Highly Cited
2009
Highly Cited
2009
A session based personalized search using an ontological user profile
Within the information overload on the web and the diversity of the user interests, it is increasingly difficult for search… 
Highly Cited
2007
Highly Cited
2007
Personalized Search on the World Wide Web
With the exponential growth of the available information on theWorld Wide Web, a traditional search engine, even if based on… 
Review
2007
Review
2007
Challenges in Searching Online Communities
An ever-growing number of users participate in online communities such as Flickr, del.icio.us , and YouTube , making friends and… 
Highly Cited
2007
Highly Cited
2007
Privacy protection in personalized search
Personalized search is a promising way to improve the accuracy of web search, and has been attracting much attention recently… 
Highly Cited
2006
Highly Cited
2006
Search Engine Bias and the Demise of Search Engine Utopianism
Due to search engines’ automated operations, people often assume that search engines display search results neutrally and without… 
Highly Cited
2003
Highly Cited
2003
Challenges and Benefits of the Semantic Web for User Modelling
The aim of this paper is to discuss how distributed learner modelling can benefit from semantic web technologies and which… 
Highly Cited
2003
Highly Cited
2003
Ontology-based personalized search and browsing
As the number of Internet users and the number of accessible Web pages grows, it is becoming increasingly difficult for users to… 
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