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Improving Website Hyperlink Structure Using Server Logs

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Improving Website Hyperlink Structure Using Server Logs (2017)
Ashwin Paranjape, Robert West, Leila Zia, and Jure Leskovec
4290502Improving Website Hyperlink Structure Using Server Logs2017Ashwin Paranjape, Robert West, Leila Zia, and Jure Leskovec

HHS Public Access
Author manuscript
Proc Int Conf Web Search Data Min. Author manuscript; available in PMC 2017 March 24.

Published in final edited form as:
Proc Int Conf Web Search Data Min. 2016 February; 2016: 615-624. doi:10.1145/2835776.2835832.


Improving Website Hyperlink Structure Using Server Logs

Ashwin Paranjape[1],
Standford University

Robert West[1],
Stanford University

Leila Zia, and
Wikimedia Foundation

Jure Leskovec
Stanford University

Chapters (not listed in original)
  1. Introduction
  2. The Link Placement Problem
    1. Browsing models and objective functions
    2. Diminishing returns
    3. Algorithm for maximizing the objectives
  3. Estimating Clickthrough Rates
  4. Datasets and Log Processing
    1. From logs to trees
    2. Wikipedia data
    3. Simtk data
  5. Evaluation: Effects of New Links
    1. Usage of new links
    2. Competition between links
  6. Evaluation: Link Placement
    1. Wikipedia
      1. Estimating clickthrough rates
      2. Predicting link addition
      3. Link placement under budget constraints
    2. Simtk
  7. Discussion and Related Work

This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0. License.

  1. 1.0 1.1 AP and RW contributed equally, RW as a Wikimedia Research Fellow.

This work is released under the Creative Commons Attribution 4.0 International license, which allows free use, distribution, and creation of derivatives, so long as the license is unchanged and clearly noted, and the original author is attributed.

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