DBScholar

Back to papers

MRI: Meaningful Interpretations of Collaborative Ratings

Summary: MRI replaces opaque aggregate ratings with concise, data-cube-based factoids explaining which reviewer segments favor an item. It formalizes meaningful description/difference mining as NP-hard and solves them via randomized hill exploration, validated by user studies and experiments. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10361
Venue
VLDB
Year
2011
Pagerank
7.8804914e-05
Overall Rank
2,993 | 79.47%
DOI
10.14778/3402707.3402742

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{das_vldb11,
        title = {{MRI: Meaningful Interpretations of Collaborative Ratings}},
        author = {Das, Mahashweta and Amer-Yahia, Sihem and Das, Gautam and Yu, Cong},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {11},
        pages = {1063--1074},
        doi = {10.14778/3402707.3402742},
        url = {https://doi.org/10.14778/3402707.3402742},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers