2 QUESTION RECOMMENDATIONSHOULD I BUY MORE MEMORY OR S-WU ET AL. (20...

2.2 Question Recommendation

should I buy more memory or s-

Wu et al. (2008) presented an incremental auto-

torage space? ...

matic question recommendation framework based

Q Body I edit pictures and videos so I

on probabilistic latent semantic analysis. Question

need them to work quickly. Any

recommendation in their work considered both the

advice?

users’ interests and feedback. Duan et al. (2008)

Answer ... If you are running out of s-

made use of a tree-cut model to represent question-

pace on your hard drive, then

s as graphs of topic terms. Questions were recom-

... to boost your computer speed

mended based on this topic graph. The recommend-

usually requires more RAM ...

ed questions can provide different aspects around the

topic of the query question.

The above question search and recommendation

research provide different ways to retrieve question-

s from large archives of question answering data.

lows. In section 2, we briefly describe the related

However, none of them considers the similarity or

work on question search and recommendation. Sec-

diversity between questions by exploring their infor-

tion 3 addresses in detail how we measure the sim-

mation needs.

ilarity between short texts. Section 4 describes two

models for information need prediction that we use

3 Short Text Similarity Measures

for the experiment. Section 5 tests the performance

In question retrieval systems accurate similarity

of the proposed models for the task of question rec-

measures between documents are crucial. Most tra-

ommendation. Section 7 is the conclusion of this

ditional techniques for measuring the similarity be-

paper.

tween two documents mainly focus on comparing

word co-occurrences. The methods employing this

2 Related Work

strategy for documents can usually achieve good re-

sults, because they may share more common words

than short text snippets. However the state-of-the-