Tadas Makcinskas

Information Systems · 2010

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tadas Makcinskas trusts overall

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

  1. Yehuda Koren
  2. Robin D. Burke
  3. Gediminas Adomavicius
  4. Anthony David Jameson
  5. Don Coppersmith
  6. Cynthia Dwork

Who trusts Tadas Makcinskas overall

  1. Yue Shi

Papers from Tadas Makcinskas's perspective

Ordered by how strongly the researchers Tadas Makcinskas 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. Hybrid Web Recommender Systems (The Adaptive Web)
  3. TV Program Recommendation for Multiple Viewers Based on user Profile Merging (User modeling and user-adapted interaction)
  4. Group Modeling: Selecting a Sequence of Television Items to Suit a Group of Viewers (User modeling and user-adapted interaction)
  5. Factorization meets the neighborhood: a multifaceted collaborative filtering model
  6. PolyLens: A recommender system for groups of user (European Conference on Computer Supported Cooperative Work)
  7. Recommendation to Groups (The Adaptive Web)
  8. COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking
  9. Rank aggregation methods for the Web
  10. Ordering by weighted number of wins gives a good ranking for weighted tournaments

Their papers