Title
The future of web search: from information retrieval to information supply
Abstract
In the past decade, Web search engines have evolved from a first generation based on classic Information Retrieval (IR) algorithms scaled to web size and thus supporting only informational queries, to a second generation supporting navigational queries using web specific information (primarily link analysis), to a third generation enabling transactional and other "semantic" queries based on a variety of technologies aimed to directly satisfy the unexpressed "user intent." What is coming next? In this talk, we argue for the trend towards context driven Information Supply (IS), that is, the goal of Web IR will widen to include the supply of relevant information from multiple sources without requiring the user to make an explicit query. The information supply concept greatly precedes information retrieval. What is new in the web framework is the ability to supply relevant information specific to a given activity and a given user, while the activity is being performed. A prime example is the matching of ads to content being read, however the information supply paradigm is starting to appear in other contexts such as social networks, e-commerce, browsers, e-mail, and others.
Year
DOI
Venue
2006
10.1007/11780991_40
NGITS
Keywords
Field
DocType
web search engine,information retrieval,social network,e commerce,satisfiability,link analysis
Data mining,Web intelligence,Web page,Computer science,Web modeling,Social Semantic Web,Web search query,World Wide Web,Human–computer information retrieval,Information retrieval,Semantic search,Web navigation,Database
Conference
Volume
ISSN
ISBN
4032
0302-9743
3-540-35472-7
Citations 
PageRank 
References 
3
0.43
1
Authors
1
Name
Order
Citations
PageRank
Andrei Broder17357920.20