Ashish Chawla

Proceedings of the VLDB Endowment · 2009

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ashish Chawla trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. J. Konstan (in Information Systems)

Papers from Ashish Chawla's perspective

Ordered by how strongly the researchers Ashish Chawla trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
  2. Cumulated gain-based evaluation of IR techniques
  3. PolyLens: A recommender system for groups of user (European Conference on Computer Supported Cooperative Work)
  4. Introduction to recommender systems (SIGMOD Conference)
  5. Optimal aggregation algorithms for middleware (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
  6. GroupLens: applying collaborative filtering to Usenet news
  7. Explaining collaborative filtering recommendations
  8. An algorithmic framework for performing collaborative filtering
  9. Fab: content-based, collaborative recommendation
  10. Eigentaste: A Constant Time Collaborative Filtering Algorithm

Their papers