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Transactions of the Japanese society for artificial intelligence
We develop a browsing support system which learns user's interests and highlights keywords based on a user's browsing history. Monitoring the user's access to the Web enables us to detect "familiar words" for the user. We extract keywords at the current page, which are relevant to the familiar words, and highlight them. The relevancy is measured by the biases of co-occurrence, called IRM (Interest Relevance Measure). Our system consists of three components; a proxy server which monitors accessdoi:10.1527/tjsai.18.203 fatcat:bt3vrtq3kbcrleir3mffylvnii