Knowledge-based assistance for accessing large, poorly structured information spaces
Knowledge-based assistance for accessing large, poorly structured information spaces
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
The use of semantic links in hypertext information retrieval
Information Processing and Management: an International Journal
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PHOAKS: a system for sharing recommendations
Communications of the ACM
The quest for correct information on the Web: hyper search engines
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Readings in intelligent user interfaces
The anatomy of a large-scale hypertextual Web search engine
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Focused crawling: a new approach to topic-specific Web resource discovery
WWW '99 Proceedings of the eighth international conference on World Wide Web
The SIFT information dissemination system
ACM Transactions on Database Systems (TODS)
IR evaluation methods for retrieving highly relevant documents
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Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Enhancing retrieval with hyperlinks: a general model based on propositional argumentation systems
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Optimizing search engines using clickthrough data
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Modeling the Clickstream: Implications for Web-Based Advertising Efforts
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ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
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Impedance coupling in content-targeted advertising
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Finding advertising keywords on web pages
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Mining search engine query logs for query recommendation
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SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating WordNet-based Measures of Lexical Semantic Relatedness
Computational Linguistics
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Predicting clicks: estimating the click-through rate for new ads
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Random walks on the click graph
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A semantic approach to contextual advertising
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Just-in-time contextual advertising
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A noisy-channel approach to contextual advertising
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Fast contextual preference scoring of database tuples
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Online learning from click data for sponsored search
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Optimizing relevance and revenue in ad search: a query substitution approach
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From Web to Social Web: Discovering and Deploying User and Content Profiles
Context-aware recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
Search advertising using web relevance feedback
Proceedings of the 17th ACM conference on Information and knowledge management
Predicting bounce rates in sponsored search advertisements
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
CAESAR: A Context-Aware, Social Recommender System for Low-End Mobile Devices
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
Learning to Rank for Information Retrieval
Foundations and Trends in Information Retrieval
Expected reciprocal rank for graded relevance
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A collaborative filtering approach to ad recommendation using the query-ad click graph
Proceedings of the 18th ACM conference on Information and knowledge management
Novel web page classification techniques in contextual advertising
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The adaptive web
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ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
The sum of its parts: reducing sparsity in click estimation with query segments
Information Retrieval
Studying the Impact of Text Summarization on Contextual Advertising
DEXA '11 Proceedings of the 2011 22nd International Workshop on Database and Expert Systems Applications
Intelligent Information Access
Intelligent Information Access
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Contextual advertising can be viewed as an information filtering task aimed at selecting suitable ads to be suggested to the final “user”, that is, the Web page in hand. Starting from this insight, in this article we propose a novel system, which adopts a collaborative filtering approach to perform contextual advertising. In particular, given a Web page, the system relies on collaborative filtering to classify the page content and to suggest suitable ads accordingly. Useful information is extracted from “inlinks”, that is, similar pages that link to the Web page in hand. In so doing, collaborative filtering is used in a content-based setting, giving rise to a hybrid contextual advertising system. After being implemented, the system has been experimented with about 15000 Web pages extracted from the Open Directory Project. Comparative experiments with a content-based system have been performed. The corresponding results highlight that the proposed system performs better. A suitable case study is also provided to enable the reader to better understand how the system works and its effectiveness.