Weijie Wang

Information Systems · with Lu · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weijie Wang trusts overall

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

  1. Thomas Hofmann
  2. Gediminas Adomavicius
  3. Daniel Lemire
  4. Jonathan L. Herlocker
  5. Yehuda Koren
  6. Alexander Tuzhilin
  7. J. Konstan
  8. Anna Maclachlan
  9. Robert M. Bell
  10. John Riedl

Papers from Weijie Wang's perspective

Ordered by how strongly the researchers Weijie Wang 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. An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms (Information retrieval (Boston))
  3. Collaborative filtering via gaussian probabilistic latent semantic analysis (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  4. An algorithmic framework for performing collaborative filtering
  5. Eigentaste: A Constant Time Collaborative Filtering Algorithm
  6. Slope One Predictors for Online Rating-Based Collaborative Filtering (SDM)
  7. Matrix Factorization Techniques for Recommender Systems
  8. GroupLens: applying collaborative filtering to Usenet news
  9. Using collaborative filtering to weave an information tapestry
  10. Learning Collaborative Information Filters

Their papers