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From "Takuya Kitazawa (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (HIVEMALL-74) Implement pLSA algorithm
Date Wed, 12 Apr 2017 02:22:41 GMT

    [ https://issues.apache.org/jira/browse/HIVEMALL-74?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15965234#comment-15965234
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Takuya Kitazawa edited comment on HIVEMALL-74 at 4/12/17 2:22 AM:
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There are several incremental variants of pLSA.

One is called *fold-in* which re-runs EM steps for new documents *by fixing P(w|z)*. This
strategy is described in the original papers, but we have no way to update *P(w|z)* for newly
observed documents. So, it does not fit to our purpose.

Incremental methods which update P(w|z) are described in: "Incremental Probabilistic Latent
Semantic Analysis for Automatic Question Recommendation" https://pdfs.semanticscholar.org/b66e/c7faf2e4888503f7ad1537d284f350fb3e58.pdf
(Table 1 in the paper compares different algorithms); we will implement one of the three incremental
variants, *IPLSA*, *MAP-PLSA* and *Our method*, in Hivemall.


was (Author: takuti):
Online PLSA http://poseidon.csd.auth.gr/papers/PUBLISHED/JOURNAL/pdf/2014/D48.pdf

> Implement pLSA algorithm
> ------------------------
>
>                 Key: HIVEMALL-74
>                 URL: https://issues.apache.org/jira/browse/HIVEMALL-74
>             Project: Hivemall
>          Issue Type: Wish
>            Reporter: Makoto Yui
>            Priority: Minor
>              Labels: Algorithm
>
> Support pLSA [1].
> [1] Thomas Hofmann, "Collaborative Filtering via Gauusian Probabilistic Latent Semantic
Analysis", Proc. SIGIR, 2003.
> http://dl.acm.org/citation.cfm?id=860483
> http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.7.2476&rep=rep1&type=pdf



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