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ECIR
2008
Springer
13 years 9 months ago
Using Clicks as Implicit Judgments: Expectations Versus Observations
Abstract. Clickthrough data has been the subject of increasing popularity as an implicit indicator of user feedback. Previous analysis has suggested that user click behaviour is su...
Falk Scholer, Milad Shokouhi, Bodo Billerbeck, And...
WWW
2009
ACM
14 years 8 months ago
A dynamic bayesian network click model for web search ranking
As with any application of machine learning, web search ranking requires labeled data. The labels usually come in the form of relevance assessments made by editors. Click logs can...
Olivier Chapelle, Ya Zhang
CSREAEEE
2006
175views Business» more  CSREAEEE 2006»
13 years 8 months ago
A Time-Based Recommender System Using Implicit Feedback
- Recommender systems provide personalized recommendations on products or services to customers. Collaborative filtering is a widely used method of providing recommendations based ...
Tong-Queue Lee, Young Park
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
WWW
2008
ACM
14 years 8 months ago
Query-sets: using implicit feedback and query patterns to organize web documents
In this paper we present a new document representation model based on implicit user feedback obtained from search engine queries. The main objective of this model is to achieve be...
Barbara Poblete, Ricardo A. Baeza-Yates