Nov 1, 2019 · Artificial Intelligence

Improving International Hotel Room‑Type Merging with Text Similarity and Machine‑Learning Models

This article describes how a large‑scale international hotel platform reduced room‑type merging errors and user complaints by applying rule‑based methods, text‑similarity algorithms (Jaccard, LCS, N‑Gram) and supervised machine‑learning classifiers such as fastText to standardize and merge heterogeneous room‑type data.

N-gramfastTexthotel

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Improving International Hotel Room‑Type Merging with Text Similarity and Machine‑Learning Models

Architecture Digest

Nov 17, 2016 · Big Data

Spam Detection on Zhihu Using Text and Behavior Clustering with Jaccard and SimHash on Spark

This article describes how Zhihu combats large‑scale spam by applying text and behavior clustering techniques—using Jaccard similarity, SimHash fingerprinting, and Spark‑based graph partitioning—to efficiently identify and group similar spammy content and actions.

Big DataSimHashclustering

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Spam Detection on Zhihu Using Text and Behavior Clustering with Jaccard and SimHash on Spark