NDLI: Personalization of Content Ranking in the Context of Local Search

Content Provider	IEEE Xplore Digital Library
Author	O'Brien, Philip Luo, Xiao Abou-Assaleh, Tony Gao, Weizheng Li, Shujie
Copyright Year	2009
Abstract	Ranking search results using a single ranking function for all search engine visitors is inherently bounded in the performance the ranking algorithm can achieve when considering the variety of requirements of Web searchers and the proliferation of topics and types of data modern search engines rank. Adding a geographical dimension to the mix by way of local search engines further reduces the average satisfaction a ranking algorithm can garner from local search users. Personalization has been proposed in Web search with some success but has not, to our knowledge, been investigated thoroughly in local search. As initial steps in local search personalization, we propose a model for personalizing search results in a local search engine using a hybrid of profile- and click-based user modeling methods. User profiles are used to compare local search results to the topical interests of users and the specific businesses in which they have shown interest by way of search result “clicks”. Our model is tested through a user study and is shown to result in significantly improved mean average precision over the baseline ranking system.
Starting Page	532
Ending Page	539
File Size	632178
Page Count	8
File Format	PDF
ISBN	9780769538013
DOI	10.1109/WI-IAT.2009.88
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-15
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System testing Vocabulary Conferences Mathematics Statistics Intelligent agent Research and development local personalization search Search engines ranking Internet Web search
Content Type	Text
Resource Type	Article

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

Context Search

Context Search

Personalization of Content Ranking in the Context of Local Search

QoS Based Ranking for Web Search

A Personalized Search Research Based on Vocabulary Semantic Net

Ontological User Profiles for Representing Context in Web Search

Ontological User Profiles for Representing Context in Web Search

Demographic context in web search re-ranking

Query Disambiguation Based on Novelty and Similarity User's Feedback

Personalization of Content Ranking in the Context of Local Search

Similar Documents

Context Search

Context Search

Personalization of Content Ranking in the Context of Local Search

QoS Based Ranking for Web Search

A Personalized Search Research Based on Vocabulary Semantic Net

Ontological User Profiles for Representing Context in Web Search

Ontological User Profiles for Representing Context in Web Search

Demographic context in web search re-ranking

Query Disambiguation Based on Novelty and Similarity User's Feedback

Personalization of Content Ranking in the Context of Local Search