NDLI: Mining user web search activity with layered bayesian networks or how to capture a click in its context

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Challenges in building large-scale information retrieval systems: invited talk

Diversifying search results

Clustering the tagged web

Measuring the similarity between implicit semantic relations using web search engines

Efficient multiple-click models in web search

Mining user web search activity with layered bayesian networks or how to capture a click in its context

Effective latent space graph-based re-ranking model with global consistency

Camera brand congruence in the Flickr social graph

Online social networks: modeling and mining: invited talk

Discovering and using groups to improve personalized search

Classifying tags using open content resources

A model for fast web mining prototyping

Characterizing the influence of domain expertise on web search behavior

Generating labels from clicks

Top-k aggregation using intersections of ranked inputs

Finding text reuse on the web

Harvesting, searching, and ranking knowledge on the web: invited talk

Adaptive subjective triggers for opinionated document retrieval

Cross-language query classification using web search for exogenous knowledge

Quality-aware collaborative question answering: methods and evaluation

Integration of news content into web results

Is Wikipedia link structure different?

Speeding up algorithms on compressed web graphs

Query by document

Improving music genre classification using collaborative tagging data

A new visual search interface for web browsing

Mining common topics from multiple asynchronous text streams

Less is more: sampling the neighborhood graph makes SALSA better and faster

The web changes everything: understanding the dynamics of web content

Wikipedia pages as entry points for book search

Information arbitrage across multi-lingual Wikipedia

Predicting the readability of short web summaries

Mining user web search activity with layered bayesian networks or how to capture a click in its context

Content Provider	ACM Digital Library
Author	Dupret, Georges Piwowarski, Benjamin Jones, Rosie
Abstract	Mining user web search activity potentially has a broad range of applications including web result pre-fetching, automatic search query reformulation, click spam detection, estimation of document relevance and prediction of user satisfaction. This analysis is difficult because the data recorded by search engines while users interact with them, although abundant, is very noisy. In this work, we explore the utility of mining search behavior of users, represented by observed variables including the time the user spends on the page, and whether the user reformulated his or her query. As a case study, we examine the contribution this data makes to predicting the relevance of a document in the absence of document content models. To this end, we first propose a method for grouping the interactions of a particular user according to the different tasks he or she undertakes. With each task corresponding to a distinct information need, we then propose a Bayesian Network to holistically model these interactions. The aim is to identify distinct patterns of search behaviors. Finally, we join these patterns to a list of custom features and we use gradient boosted decision trees to predict the relevance of a set of query document pairs for which we have relevance assessments. The experimental results confirm the potential of our model, with significant improvements in precision for predicting the relevance of documents based on a model of the user's search and click behavior, over a baseline model using only click and query features, with no Bayesian Network input.
Starting Page	162
Ending Page	171
Page Count	10
File Format	PDF
ISBN	9781605583907
DOI	10.1145/1498759.1498823
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-02-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Web retrieval Click-through data User modelling Query log analysis Relevance prediction
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

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