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View Code? Open in Web Editor NEWAnswerers Recommendation System for ROS Answers
License: MIT License
Answerers Recommendation System for ROS Answers
License: MIT License
it should be
<dependencies>
<dependency>
<groupId>com.elbraulio</groupId>
<artifactId>ros_gh</artifactId>
<version>{version}</version>
</dependency>
</dependencies>
<repositories>
<repository>
<id>jitpack.io</id>
<url>https://jitpack.io</url>
</repository>
</repositories>
check the first aspirant who math at least the half of tags from question.
Also rename DefaultAccuracy to StricAcuracy
actually is sorting asc. Even the test sort asc.
with small doubles the rank returns NaN, so it should be replaced as 0.
Double.isNaN(rank) ? 0d : rank;
also Aspirant
is returning wrong ranking, must be
this.ka*0.75 + this.da*0.25;
update the LICENSE file up to 2019.
Launcher
is too general, it might be named as DataExtraction
or similar.
There are 1277 tags that looks cut, e.g. :
id | name |
---|---|
5 | turtlebot_dash... |
9 | turtlebot_cali... |
206 | message_genera... |
263 | installation_e... |
288 | camera_calibra... |
305 | sicktoolbox_wr... |
306 | xv_11_laser_dr... |
348 | trajectory_fil... |
You can get the complete list with this query:
select *
from ros_tag
where name like '%...'
I need more data from the ROS Answers' user, specifically:
karma
joined_at
last_seen_at
location
has_avatar (or the url to the avatar and NULL if it has the default)
description
real name (if it exist)
age
badges (and its count)
I'm particularly interested in the first 4, so if it's it require more effort to get the rest of the list I'd already be happy with havine just those four (karma, joined_at, last_seen_at, location).
the script for reset db used in test are not windows Multiplatform compatible. Then those test fail when they run on windows.
fix bugs and devrec implementation.
Like builds, all we want to know how the extract process made success or failed. It is important to have logs in order to identify errors and possible missing data cases.
must be normalized by doc length like this
length += rut[i][k];
}
return sum/length;
we want to replicate Devrec described in this paper. It will be implemented on the examples
branch using tools committed on master
branch. There is an important difference between Zhang et al. implementation and ours, it is that we are looking for someone to answers a question instead of participating on a project.
All the following quotes were extracted from the original paper.
ros_gh
and available here.UP Connector: This part is to create the association matrix of users and projects based on the activities in GitHub. Here we get a two-value matrix Ru−p, where 1 stands for participation and 0 stands for the opposite.
User Connector: This part is to calculate the association between users based on the user project association matrix using Jaccard algorithm.
Match Engine: In this part, we calculate the association between users and projects according to the user association matrix Ru−u
. If we use UAp⟨u1,u2,...,un⟩
to represent users that have already participated in the target project p, we can obtain the match score of each user towards project p using:
U{u1,u2,...,un}
to represent users in StackOverflow, Tu = {t1,t2,...,tn}
to represent the tags that related to user u
, and C(t,u)
to represent the number of times tag t
relates to user u
. Then we can calculate user tag association matrix using User Connector: After obtaining the user tag association matrix Ru−t
, we calculate the association of users using Vector Space Similarity algorithm.
Match Engine: The same as the match engine part in DA-based approach.
currently Devrec is out of artifact domain com.elbraulio.rosgh
. That is confusing when you import this as
import examples.Devrec
when it should be
import com.elbraulio.rosgh.example.Devrec
README.md must include all versions of data extracted. This info can be added at the bottom of the document with change review.
Add this badge to README.md
to receive thanks from users.
it is not suitable to have examples within the project because they have not have unit test and increments the project complexity. These tools must be provided by the project but without containing examples inside ignored test. This packages must be excluded from the main project and can be included on a examples branch:
launcher
GithubInfoTest
ignored test from FetchUsersPageListTest
FetchAnswersTest
IteratePagedContentTest
ParticipantsTest
artifact id : rosgh
group id : com.elbraulio
When indigo or hydro are being processing , it throws an exception for the ar_sys package.
Will bring more details in future ...
it seems that they are not being used, then they must be removed.
the correct Math is
private double vectorSpace(int i, int j, double[][] rut) {
double sum = 0d;
double length = 0d;
for (int k = 0; k < rut[i].length; k++) {
sum += rut[i][k] * rut[j][k];
length += rut[i][k];
}
return sum/length;
}
the result of querying how many times a given tag is related to all users has different results if it is queried for each user using FetchTagCount
compared with using a single query:
select sum(count) as count
from ros_user_tag
where ros_user_tag.ros_user_id in (select ros_user_id from linked_users) and
ros_user_tag.ros_tag_id = ?;
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