NDLI: Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

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Personalizing Top-k Processing Online in a Peer-to-Peer Social Tagging Network

Content Provider	ACM Digital Library
Author	Guerraoui, Rachid Bai, Xiao Kermarrec, Anne-Marie
Copyright Year	2014
Abstract	The rapidly increasing amount of user-generated content in social tagging systems provides a huge source of information. Yet, performing effective search in these systems is very challenging, especially when we seek the most appropriate items that match a potentially ambiguous query. Collaborative filtering-based personalization is appealing in this context, as it limits the search within a small network of participants with similar preferences. Offline personalization, which consists in maintaining, for every user, a network of similar participants based on their tagging behaviors, is effective for queries that are close to the querying user’s tagging profile but performs poorly when the queries, reflecting emerging interests, have little correlation with the querying user’s profile. We present $P^{2}TK^{2},$ the first protocol to personalize query processing in social tagging systems online. $P^{2}TK^{2}$ is completely decentralized, and this design choice stems from the observation that the evolving social tagging systems naturally resemble P2P systems where users are both producers and consumers. This design exploits the power of the crowd and prevents any central authority from controlling personal information. $P^{2}TK^{2}$ is gossip-based and probabilistic. It dynamically associates each user with social acquaintances sharing similar tagging behaviors. Appropriate users for answering a query are discovered at query time with the help of social acquaintances. This is achieved according to the hybrid interest of the querying user, taking into account both her tagging behavior and her query. Results are iteratively refined and returned to the querying user. We evaluate $P^{2}TK^{2}$ on $\textit{CiteULike}$ and $\textit{Delicious}$ traces involving up to 50,000 users. We highlight the advantages of online personalization compared to offline personalization, as well as its efficiency, scalability, and inherent ability to cope with user departure and interest evolution in P2P systems.
Starting Page	1
Ending Page	36
Page Count	36
File Format	PDF
ISSN	15335399
e-ISSN	15576051
DOI	10.1145/2602572
Volume Number	13
Issue Number	4
Journal	ACM Transactions on Internet Technology (TOIT)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-07-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Peer-to-peer systems Gossip Online Personalization Social tagging networks Top-k processing
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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