Information Searching Tactics of Web Searchers
Information Searching Tactics of Web Searchers
Mimi Zhang
mzhang@ist.psu.edu
Another interesting paper that could help us develop and study our web logs. If used with the IE browser tool below, then this could give us a good image of our users.
Bates (1979)
A move made to further a search
Query Reformulation of excite users
32% did not submit more than one questy
When they did nodify a query
34% modified queries included the same amount of terms as the original ones
19% users reformulated their queries by adding a term
16% of them modified by removing a term
Web query reformulation model
Build up on saracevic’s stratified model
Three categories content format and resource
8 sub categories
This study
How do web searchers reformulate their queries?
What are the results of this effort?
Studied a 24 hour log from 9/9/2002
30% of the time people modified the nouns ie - subtracting nouns, noun after term noun before term.
Study really gets into the semantics of the search terms.
About 30% of time people subtract something – noun, phrase or conjunction
TC = topic change, so often times people changed the topic
This paper looks very interesting – I think we can get some interesting data from it that might be applicable to the search engine. We need to do something similar with our data, once we have it.
Mimi Zhang
mzhang@ist.psu.edu
Another interesting paper that could help us develop and study our web logs. If used with the IE browser tool below, then this could give us a good image of our users.
Bates (1979)
A move made to further a search
Query Reformulation of excite users
32% did not submit more than one questy
When they did nodify a query
34% modified queries included the same amount of terms as the original ones
19% users reformulated their queries by adding a term
16% of them modified by removing a term
Web query reformulation model
Build up on saracevic’s stratified model
Three categories content format and resource
8 sub categories
This study
How do web searchers reformulate their queries?
What are the results of this effort?
Studied a 24 hour log from 9/9/2002
30% of the time people modified the nouns ie - subtracting nouns, noun after term noun before term.
Study really gets into the semantics of the search terms.
About 30% of time people subtract something – noun, phrase or conjunction
TC = topic change, so often times people changed the topic
This paper looks very interesting – I think we can get some interesting data from it that might be applicable to the search engine. We need to do something similar with our data, once we have it.
1 Comments:
I would like to hear more about what you learned from this. I think espicially in our persona adventures this information would be a great addition.
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