Collaboration, Reputation and Recommender Systems in Social Web Search

Files in This Item:
File Description SizeFormat 
Collaboration,Reputation and Recommender systems in social web search.pdf1.14 MBAdobe PDFDownload
Title: Collaboration, Reputation and Recommender Systems in Social Web Search
Authors: Smyth, BarryCoyle, MauriceBriggs, PeterMcNally, KevinO'Mahony, Michael P.
Permanent link: http://hdl.handle.net/10197/10874
Date: 2015
Online since: 2019-07-10T11:01:13Z
Abstract: Modern web search engines have come to dominate how millions of people find the information that they are looking for online. While the sheer scale and success of the leading search engines is a testimony to the scientific and engineering progress that has been made over the last two decades, mainstream search is not without its challenges. Mainstream search engines continue to provide a largely one-size-fits-all service to their user-base, ultimately limiting the relevance of their result-lists. And they have only very recently begun to consider how the rise of the social web may support novel approaches to search and discovery, or how such signals can be used to inform relevance. In this chapter we will explore recent research which aims to do just that: to make web search a more personal and collaborative experience and to leverage important information such as the reputation of searchers during result-ranking. In short we look towards a more social future for mainstream search.
Funding Details: Science Foundation Ireland
Type of material: Book Chapter
Publisher: Springer
Start page: 569
End page: 608
Copyright (published version): 2015 Springer
Keywords: Search engineRecommender systemUser profileRelevance feedbackReputation system
DOI: 10.1007/978-1-4899-7637-6_17
Language: en
Status of Item: Peer reviewed
Is part of: Ricci, F., Rokach, L., Shapira, B. (eds.). Recommender Systems Handbook
ISBN: 978-1-4899-7637-6
Appears in Collections:Insight Research Collection

Show full item record

SCOPUSTM   
Citations 50

2
Last Week
0
Last month
checked on Sep 20, 2019

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.