Susan Gauch

Information Systems · 2003–2013

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Susan Gauch trusts overall

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

  1. Michael J. Pazzani
  2. Marko Balabanovic
  3. T. Landauer
  4. Susan T. Dumais
  5. Daniel Billsus
  6. Yoav Shoham
  7. Alfred Kobsa
  8. Wouter IJntema
  9. Bamshad Mobasher
  10. J. Konstan

Who trusts Susan Gauch overall

  1. Wei Chu
  2. David Vallet
  3. Ahu Sieg
  4. Bamshad Mobasher
  5. Seung-Taek Park
  6. Indrė Žliobaitė
  7. Miriam Fernández
  8. Engin Bozdag
  9. Pablo Castells

Papers from Susan Gauch's perspective

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

  1. Fab: content-based, collaborative recommendation
  2. Content-Based Recommendation Systems
  3. Personalizing search via automated analysis of interests and activities (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
  4. Indexing by Latent Semantic Analysis
  5. Using twitter to recommend real-time topical news
  6. Data Mining for Web Personalization (The Adaptive Web)
  7. Collaborative Filtering Recommender Systems (The Adaptive Web)
  8. Personalized Web search for improving retrieval effectiveness (IEEE Transactions on Knowledge and Data Engineering)
  9. Hierarchical classification of Web content
  10. Generic User Modeling Systems (User modeling and user-adapted interaction)

Their papers