[PDF] - Topic of this talk Topic of this talk From E- -Relevance PDF Document

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From E From E-

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Relevance to W to W-

Relevance

Relevance

P. Coppola, V. Della Mea, L. Di Gaspero, S. Mizzaro
Dept. of Mathematics and Computer Science

University of Udine http://www.dimi.uniud.it/~{coppola,dellamea,digasper,mizzaro} {coppola,dellamea,digasper,mizzaro}@dimi.uniud.it

Workshop on Mobile Personal Information Retrieval SIGIR 2002 – Tampere – 15/8/2002

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Topic of this talk Topic of this talk

What is relevance in Mobile Personal

Information Retrieval?

– What is Mobile Personal Information Retrieval? Not just Mobile Information Retrieval… – Mobile devices (cell phones, PDAs, …) … but Ubiquitous/Pervasive Information

Retrieval

– Ubiquitous devices accessing/providing information – Strongly interconnected with the real, physical world

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Warnings! Warnings!

Preliminary work Extremely speculative talk – 10 years future – Avoid ephemeral technological constraints – In 10 years or so, mobile devices and

desktop computers might be rather similar

Brainstorming

UIR MIR IR

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Outline Outline

1st part: Relevance in classical IR (my

previous work)

2nd part: Relevance in mobile IR

(what/how is different)

3rd part: Scenarios (examples to support

ur view)

Conclusions

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The relevance pot The relevance pot

r e l e v a n c e r e l e v a n c e

s i t u a t i

n

a l r e l e v a n c e s i t u a t i

n

a l r e l e v a n c e pertinence pertinence topicality topicality system relevance system relevance usefulness usefulness user satisfaction user satisfaction utility utility user relevance user relevance

Relevance Topicality Pertinence Utility …

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Many relevances Many relevances

Classification along 4 dimensions: – Information resources – User problem representations – Time – Components

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Information resources Information resources

Information Document Surrogate

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User problem representations User problem representations

Formalized Information Need Expressed Information Need Perceived Information Need Real Information Need

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The relevance of the document to the request The relevance of the document to the query The relevance of the information to the information need

The relevance of “X” to “Y” The relevance of “X” to “Y”

FIN EIN PIN RIN I D S

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More ordered… More ordered…

FIN EIN PIN RIN I D S User pbm. Info resources

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Time Time

Even more relevances: – The relevance of X to Y at query

expression time

– The relevance of X to Y at the time of the

end of interaction with the IR system

– …

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Topicality? Topicality?

Not mentioned yet… …we need another dimension Components: – Topic

What the document/need is about

– Task

What the user has to do with the retrieved info

– Context (… everything else!)

Everything else (previous knowledge, …)

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So, many relevances So, many relevances

The relevance of the surrogate to the

query at query expression time for what concerns the topic only

The relevance of the received

information to the real information need at the end of the interaction with the IR system for what concerns topic, task, and context

Beyond-topical relevance criteria

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Summary Summary

1st part: Relevance in classical IR (my

previous work)

⇒ There are many relevances ⇐

2nd part: Relevance in mobile IR

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Mobile/wireless/ubiquitous/… Mobile/wireless/ubiquitous/…

Listen, you’re NOT going to say that there are even more relevances, are you??

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Stronger link with the physical world Stronger link with the physical world

Formalized Information Need Expressed Information Need Perceived Information Need Real Information Need Information Document Surrogate

Thing need Thing

In the mobile case, users seek information

because they want something…

… erm, some thing

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Link with the physical world: Time Link with the physical world: Time

Users need “quick and dirty” information Carpe diem! – Things change (faster?) – Replication is difficult – What is relevant now will not be relevant later “Precision is more important than recall” The DB is mobile vs. my device is mobile

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Components: Task and context Components: Task and context

Task & Context are not only inside

user’s mind…

…they are also about the real world: – Location, direction, speed, … – Noise, light, … – What I’m doing while seeking info

(concentration/attention level, …)

Beyond-topical relevance criteria: more

important

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Summary Summary

Physical world is more important Thing & thing need: more relevances Time: is more important Automatic query generation (IR, not IF!) Beyond-topical relevance criteria are

more important (i.e., topicality only? Forget it!)

3rd part: scenarios

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Scenario 1: Catching the train Scenario 1: Catching the train

…In a taxi, arriving at the railway station in a hurry… I don’t want that @#%$§ long list of connections!!! Just give me a seat on the first train to Milano. And

book/buy it!!

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Scenario 1: Catching the train Scenario 1: Catching the train

Topic (in part from the real world): trains from

Udine to Milano

Task & context (from the real world) – In a hurry (taxi speed…) – Time of the day – My wife is with me. Does she need a ticket too? – The first train on the timetable is fully booked – My credit card details might be available (erm…) – …

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Location enabled PDA (GPS, …) Traffic jam

Scenario 2: Driving to SIGIR 2012 Scenario 2: Driving to SIGIR 2012

Suggested route

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Scenario 2: Driving to SIGIR 2012 Scenario 2: Driving to SIGIR 2012

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She’s going to Tampere! It’s Mary: my friend

Scenario 2: Driving to SIGIR 2012 Scenario 2: Driving to SIGIR 2012

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Sure! Let’s stop in Seinäjoki

Scenario 2: Driving to SIGIR 2012 Scenario 2: Driving to SIGIR 2012

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Scenario 2: Driving to SIGIR 2012 Scenario 2: Driving to SIGIR 2012

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Scenario 2: Driving to SIGIR 2012 Scenario 2: Driving to SIGIR 2012

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Scenario 2: Driving to SIGIR 2012 Scenario 2: Driving to SIGIR 2012

Topic: – Tampere, Helsinki, trip, route, … Task: – Driving to Tampere, conveniently Context: – A friend of mine (address book, agenda,…) – Not a good driver at all, very old car (world)

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Scenario 3: E Scenario 3: E-

Commerce

Commerce

Trendy girl in a commercial center

looking for a new Mosquito T-shirt

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Scenario 3: E Scenario 3: E-

Commerce

Commerce

You submit a query to shops database You do not want – E-Bay catalogues – A full description of Mosquito t-shirt You do want: – Price, availability of size (label on my dress) – Do I have enough time? (position, speed,…) – See/try/book/buy it now!

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Scenario 4: Museum application Scenario 4: Museum application

Why is Van Gogh painted with a bandaged ear?

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Scenario 4: Museum application Scenario 4: Museum application

You do not need to be shown the

picture itself

You need textual background

information

Context: – I’m in front of the picture… – … the query might be automatically

generated

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Conclusions Conclusions ( (Summary Summary) )

“Mobile” IR with the relevance glasses Different from classical IR Stronger link with the real world Increased importance of beyond-topical

relevance criteria (future work…)

– Task and context are out there in the world, not

hindered inside user’s mind

– Part of the query can (should) be derived

automatically

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I knew you would have asked… I knew you would have asked…

E-relevance: – Electronic relevance – Irrelevance W-relevance: – Wireless relevance – World relevance – Double u(ser) relevance

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