Hugo Liu & Pattie Maes (2005). InterestMap: harvesting social network profiles for recommendations. Proceedings of IUI Beyond Personalization 2005, San Diego, CA, 54–59.
Liu, H., & Maes, P. (2005). InterestMap: harvesting social network profiles for recommendations. In Proceedings of IUI Beyond Personalization 2005, San Diego, CA (pp. 54–59).
@inproceedings{liu2005interestmap,
author = {Hugo Liu and Pattie Maes},
title = {InterestMap: harvesting social network profiles for recommendations},
booktitle = {Proceedings of IUI Beyond Personalization 2005, San Diego, CA},
pages = {54--59},
url = {https://starheartsong.com/papers/pdf/BP2005-InterestMap.pdf},
year = {2005}
}InterestMap tries to recommend for the whole person rather than for a single shopping session. It mined 100,000 public social-network profiles, segmented their free-form interest lists, normalized them against 21,000 interest and 1,000 identity descriptors, and learned a weighted network from co-occurrence. Spreading activation moved from a person's stated tastes through identity hubs and cultural cliques to candidate recommendations. In five-fold tests that hid half of each profile, the full network scored 0.86 on the paper's graded percentile measure; removing identity nodes reduced it to 0.81, and direct pairwise tallies scored 0.73. This was held-out profile reconstruction, not a user trial. The data also inherited duplicate accounts, heuristic normalization, public self-presentation, and the blind spots of a fixed ontology.