Yogesh Kakodkar

Information Systems · 2013

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 10 citations into it; #6,452 of 8,771 by trust here, #7,107 by citations
• Artificial Intelligence — 7 citations into it; #27,951 of 35,345 by trust here, #29,412 by citations
• Recommender Systems — 5 citations into it

Whom Yogesh Kakodkar trusts overall

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

1. Yehuda Koren
2. Noam Slonim
3. Thorsten Joachims
4. Paul Resnick
5. Ron Kohavi
6. Naftali Tishby
7. Chong Wang
8. Robert M. Bell
9. Samuel Brody
10. Noémie Elhadad

Who trusts Yogesh Kakodkar overall

1. Li Chen

Papers from Yogesh Kakodkar's perspective

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

1. The information bottleneck method
2. Evaluating collaborative filtering recommender systems
3. Lessons from the Netflix prize challenge
4. Empirical Analysis of Predictive Algorithms for Collaborative Filtering
5. Amazon.com Recommendations: Item-to-Item Collaborative Filtering
6. Mining and summarizing customer reviews
7. An open architecture for collaborative filtering of netnews
8. A Joint Model of Text and Aspect Ratings for Sentiment Summarization (Annual Meeting of the Association for Computational Linguistics)
9. Unsupervised document classification using sequential information maximization (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval)
10. Performance of recommender algorithms on top-n recommendation tasks

Their papers

• Improving the quality of predictions using textual information in online user reviews (2013) — 157 citations