Hugo Liu, Pattie Maes & Glorianna Davenport (2006). Unraveling the taste fabric of social networks. International Journal on Semantic Web and Information Systems 2(1), 42–71. Reprinted 2008, Idea Group.
Liu, H., Maes, P., & Davenport, G. (2006). Unraveling the taste fabric of social networks. International Journal on Semantic Web and Information Systems, 2(1), 42–71.
@article{liu2006unraveling,
author = {Hugo Liu and Pattie Maes and Glorianna Davenport},
title = {Unraveling the taste fabric of social networks},
journal = {International Journal on Semantic Web and Information Systems},
volume = {2},
number = {1},
pages = {42--71},
publisher = {Idea Group},
doi = {10.4018/jswis.2006010102},
url = {https://starheartsong.com/papers/pdf/IJSWIS2006-TasteFabric.pdf},
year = {2006}
}Taste Fabric turns co-occurrence among favorite things into a reusable cultural map. A six-month crawl gathered 100,000 profiles from two social networks. Heuristic segmentation and an ontology of 22,000 interest and identity descriptors recognized 68 percent of tokens; pointwise mutual information produced a dense relation matrix later reduced to 12,000 descriptors. Spreading activation formed “taste ethoi” for recommendation, comparison, Ambient Semantics, and Identity Mirror. In five-fold held-out-profile tests, the full model scored 0.86 on graded percentile rank, compared with 0.73 for direct pairwise association. The paper also records the costs: overlapping populations, a static snapshot, unrecognized and falsely mapped terms, unevaluated neighborhood morphology, and no re-identification audit. Its metric measures recovery of withheld profile items, not lived recommendation quality.