MLLIB-24: url of "Collaborative Filtering for Implicit Feedback Datasets" in ALS is invalid now

CrazyJvm · mengxr · commit f27441a12134 · 2014-03-18T18:39:17.000-07:00
url of "Collaborative Filtering for Implicit Feedback Datasets" is invalid now. A new url is provided. http://research.yahoo.com/files/HuKorenVolinsky-ICDM08.pdf Author: Chen Chao <crazyjvm@gmail.com> Closes #619 from CrazyJvm/master and squashes the following commits: a0b54e4 [Chen Chao] change url to IEEE 9e0e9f0 [Chen Chao] correct spell mistale fcfab5d [Chen Chao] wrap line to to fit within 100 chars 590d56e [Chen Chao] url error
diff --git a/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala b/mllib/src/main/scala/org/apache/spark/mllib/recommendation/ALS.scala
@@ -81,7 +81,7 @@ case class Rating(val user: Int, val product: Int, val rating: Double)
  *
  * For implicit preference data, the algorithm used is based on
  * "Collaborative Filtering for Implicit Feedback Datasets", available at
- * [[http://research.yahoo.com/pub/2433]], adapted for the blocked approach used here.
+ * [[http://dx.doi.org/10.1109/ICDM.2008.22]], adapted for the blocked approach used here.
  *
  * Essentially instead of finding the low-rank approximations to the rating matrix `R`,
  * this finds the approximations for a preference matrix `P` where the elements of `P` are 1 if r > 0

Original file line number	Diff line number	Diff line change
`@@ -81,7 +81,7 @@ case class Rating(val user: Int, val product: Int, val rating: Double)`
`81`	`81`	`*`
`82`	`82`	`* For implicit preference data, the algorithm used is based on`
`83`	`83`	`* "Collaborative Filtering for Implicit Feedback Datasets", available at`
`84`		`- * [[http://research.yahoo.com/pub/2433]], adapted for the blocked approach used here.`
	`84`	`+ * [[http://dx.doi.org/10.1109/ICDM.2008.22]], adapted for the blocked approach used here.`
`85`	`85`	`*`
`86`	`86`	* Essentially instead of finding the low-rank approximations to the rating matrix `R`,
`87`	`87`	* this finds the approximations for a preference matrix `P` where the elements of `P` are 1 if r > 0