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Thursday, April 10, 2008
Wednesday, April 9, 2008
AMAZON RECOMMENDER WEEK 11
This week I tested Amazon simply by typing key words such as "disk" and try to see how smart Amazon was in finding things I wanted that related to photography memory card. Out of 546 amazon returned about 8 items which were photography related san disk memory card. This tells me Amazon does not know me too well when it comes to simply having it guess at key words.
I tried also typing "hood" and out of 48 items it recommended one photography camera hood. Also not good.
I then tried "filter" it out of 48 it returned 4 items. Not bad but then not very good.
Overall it seems as if Amazon knows I'm interested in photography but can't read my mind.
I tried also typing "hood" and out of 48 items it recommended one photography camera hood. Also not good.
I then tried "filter" it out of 48 it returned 4 items. Not bad but then not very good.
Overall it seems as if Amazon knows I'm interested in photography but can't read my mind.
Wednesday, April 2, 2008
MEDIAUNBOUND
http://www.mediaunbound.com/index.ph
MediaUnbound a company that provides software application to help provide music recommendation through use of different techniques. Company clients includes Napster, Rhapsody, and others. Unlike other recommendation Mediabound utilizes music analyst or human along with technology to make recommendations. Recommendations in Rhapsody or URGE is made more on the human side where computer can't analyze such as mood and tastes. This site mainly explore the company and it's technology and product.
Upong stumbling upong the company I had some questions about the company so emailed a contact at MediaUnbound. Turns out the CEO responded. MediaUnbound is a combination of content and collaborative filtering recommender system. It analyzes personal preference to make accurate and interesting recommendations.
One example of MediaUnbound's work.
http://www.videovalve.tv/
Utilizes elements from URGE system.
MediaUnbound a company that provides software application to help provide music recommendation through use of different techniques. Company clients includes Napster, Rhapsody, and others. Unlike other recommendation Mediabound utilizes music analyst or human along with technology to make recommendations. Recommendations in Rhapsody or URGE is made more on the human side where computer can't analyze such as mood and tastes. This site mainly explore the company and it's technology and product.
Upong stumbling upong the company I had some questions about the company so emailed a contact at MediaUnbound. Turns out the CEO responded. MediaUnbound is a combination of content and collaborative filtering recommender system. It analyzes personal preference to make accurate and interesting recommendations.
One example of MediaUnbound's work.
http://www.videovalve.tv/
Utilizes elements from URGE system.
AMAZON RECOMMENDER WEEK 10
For the past two weeks instead of searching for photography related items I tried searching soemthing new to see how good Amazon can give me recommendation. I find GPS systems very interesting so decided to test Amazon. My search consisted of car GPS units by TOM TOM, GARMIN and other companies. I was particularly interested in TOM TOM because I had one. I wanted to see what Amazon had to offer. I noticed Amazon was trying to sell me more than just GPS. The recommendation that came out of the search inluded books such as Washing Post Dining Guide, Innoncent Man by Tom Selleck or Magnum PI. All the books were on the last recommendation page. I figure Amazon wanted to present something that was of interests to me and keep my intrest while trying to sneek some books in. I've never bought a book from Amazon so maybe it was trying to sell me or get me to start buying books.
During my one week searching for GPS related equipment I noticed Amazon too picked up on what I wanted to see. When I simply type street map Amazon presented me with car unit GPS devices along with GPS maps. With only one week Amazon picked up on my taste as it did with photography. In my mind I knew I wanted to see some GPS units when I type in street map. I wanted to see how smart Amazon was. I have to say simply by typing closely related words Amazon was able to present me at least with a page or two of items that I wanted to see. Again, I think it has to do with keeping my intrestes alive while trying to sneak in something new.
During my one week searching for GPS related equipment I noticed Amazon too picked up on what I wanted to see. When I simply type street map Amazon presented me with car unit GPS devices along with GPS maps. With only one week Amazon picked up on my taste as it did with photography. In my mind I knew I wanted to see some GPS units when I type in street map. I wanted to see how smart Amazon was. I have to say simply by typing closely related words Amazon was able to present me at least with a page or two of items that I wanted to see. Again, I think it has to do with keeping my intrestes alive while trying to sneak in something new.
Thursday, March 27, 2008
MY AMAZON RECOMMENDER SYSTEM
In the past weeks I've searched for items other than just photography.
I've realized that my recent searches have simply been photography related and so Amazon was unable to give me much new recommendation on other items that would be of interests to me.
I realized that Amazon.com has a good handle when it comes to photography.
I think it has figure me out fairly well.
By simply typing NIKON I get interesting photography items that is of interests to me.
I realized too since I've been searching for expensive fast lens the lens recommendation that I'm getting are not the average lens.
I'm getting professional lens that are expensive and fast.
I've been testing the system on words words relating to photography but may not be obvious.
For example, I would search for REMOTE and Amazon knowing I've search so much on photography it tosses a Camera Remote along with standard Television remotes.
Out of the 48 items Amazon typically recommends one is photography related.
Again, I test the sysem on common word such as BAG. Amazon was still sneak in 2 photography carrying bags along with purse and other carrying on bags. Another search was simply typing in SOFT. Amazon again was able to throw in a soft nikon camera bag.
Instead of searching for specific photography related words I'm just tossing out words that may have very little correlation to photography. Though most recommendations are not what I'm after at least one or two is items I want to look at and possibly buy or rate it.
I've realized that my recent searches have simply been photography related and so Amazon was unable to give me much new recommendation on other items that would be of interests to me.
I realized that Amazon.com has a good handle when it comes to photography.
I think it has figure me out fairly well.
By simply typing NIKON I get interesting photography items that is of interests to me.
I realized too since I've been searching for expensive fast lens the lens recommendation that I'm getting are not the average lens.
I'm getting professional lens that are expensive and fast.
I've been testing the system on words words relating to photography but may not be obvious.
For example, I would search for REMOTE and Amazon knowing I've search so much on photography it tosses a Camera Remote along with standard Television remotes.
Out of the 48 items Amazon typically recommends one is photography related.
Again, I test the sysem on common word such as BAG. Amazon was still sneak in 2 photography carrying bags along with purse and other carrying on bags. Another search was simply typing in SOFT. Amazon again was able to throw in a soft nikon camera bag.
Instead of searching for specific photography related words I'm just tossing out words that may have very little correlation to photography. Though most recommendations are not what I'm after at least one or two is items I want to look at and possibly buy or rate it.
GETTING TO KNOW YOU:LEARNING NEW USER PREFERENCES IN RECOMMENDER SYSTEM
http://www.iuiconf.org/02pdf/2002-001-0019.pdf
Paper talks about different strategies to learn about new users.
Experiment utilizes MovieLens dataset both online and offline.
Paper talks about different strategies to learn about new users.
Experiment utilizes MovieLens dataset both online and offline.
Wednesday, March 19, 2008
TRIBLER.ORG ( RECOMMENDER RESOURCE)
http://www.tribler.org/
Tribler.com com is a software that people can download free of charge.
It's a P2P social application to help people find contents such as videos, audios, pictures and etc.
Main screen shot of application.
http://www.tribler.org/screenshots/8
Files overview screenshot.
http://www.tribler.org/screenshots/4
Persons overview screenshot.
http://www.tribler.org/screenshots/6
Tribler.com com is a software that people can download free of charge.
It's a P2P social application to help people find contents such as videos, audios, pictures and etc.
Main screen shot of application.
http://www.tribler.org/screenshots/8
Files overview screenshot.
http://www.tribler.org/screenshots/4
Persons overview screenshot.
http://www.tribler.org/screenshots/6
RECOMMENDER SYSTEM
March 19th surf:
By not logging into Amazon.com I simply typed 2.8 as a search key word. Amazon yielded 9 out of 48 items that was related to photography lens. Since the beginning of class a keyword of 2.8 would have probably not yielded photography related items as recommendation. Without logging into my account I realized Amazon was tracking my IP address as well using cookies though I frequently delete my cookies.
By not logging into Amazon.com I simply typed 2.8 as a search key word. Amazon yielded 9 out of 48 items that was related to photography lens. Since the beginning of class a keyword of 2.8 would have probably not yielded photography related items as recommendation. Without logging into my account I realized Amazon was tracking my IP address as well using cookies though I frequently delete my cookies.
Thursday, March 13, 2008
MY RECOMMENDER SYSTEM: AMAZON.COM
After my recent purchase of two items from Amazon.com and about several months of surfing and searching items on Amazon.com I realized my recommendation search has greatly improved. I searched many photography related items and realized lately from my computer and home and work without even logging into Amazon I'm getting photography related recommendation. I believe this has alot to do with my wish list and recent purchase. Better yet simply by typing 2.8 Amazon is smart enough to figure that I'm searching for fast lens. This goes back to the very fist lecture when we were asked for a definition of a word. How does a system know. Now Amazon has a better idea of me and my search query. I believe Amazon will continue to make good recommendations that are of interests to me.
Thursday, February 21, 2008
RESOURCE: CAR RECOMMENDER FROM CARS.COM
http://www.cars.com/go/criteria/criteriaSearchForm.html
Car recommender search engine to help people find vehicles by providing information such as vehicle year, model, make and etc. Once vehicle recommendation is made customer gets an opportunity to rate the car using rating system of 1-5. User can also read ratings from other people.
I found some of the ratings by Consumer Review very high.
Another thing a consumer can do is to compare vehicles that might be similar in its class.
The goal is to get people to find what they like and then have the ability to find a local dealer to get quote.
I find this to be more of a content based system.
Car recommender search engine to help people find vehicles by providing information such as vehicle year, model, make and etc. Once vehicle recommendation is made customer gets an opportunity to rate the car using rating system of 1-5. User can also read ratings from other people.
I found some of the ratings by Consumer Review very high.
Another thing a consumer can do is to compare vehicles that might be similar in its class.
The goal is to get people to find what they like and then have the ability to find a local dealer to get quote.
I find this to be more of a content based system.
Wednesday, February 20, 2008
MY RECOMMENDER SYSTEM (AMAZON.COM)
FEB 21ST CLASS
Recently I've been looking at photography equipments of all sorts raning from cameras to camera accessories but no books. Up to now I've had an opportunity to rate over 135 items. I've probably rated about less than a dozen items which I've own. I've also include many photography items in my wish list in hopes of getting better recommendation.
About two weeks ago I did purchase two items from Amazon.com. After the purchase I realized I was getting better recommendations that was related to what was surfing for. I realized too that Amazon threw in a book among all things related to photography. The book however was not photography related. The book dealt with vegetrian. I felt Amazon was trying to get me interested in books as well as photography equipments.
I noticed too lately that even without signing in Amazon was throwing photography related items for me. It seems as if Amazon is making recommendation via my IP address. Overall I think Amazon is doing pretty good with their recommendations.
Out of 186 recommendations only one was something I didn't care about and that was a book on how to cook vegeterian.
Recently I've been looking at photography equipments of all sorts raning from cameras to camera accessories but no books. Up to now I've had an opportunity to rate over 135 items. I've probably rated about less than a dozen items which I've own. I've also include many photography items in my wish list in hopes of getting better recommendation.
About two weeks ago I did purchase two items from Amazon.com. After the purchase I realized I was getting better recommendations that was related to what was surfing for. I realized too that Amazon threw in a book among all things related to photography. The book however was not photography related. The book dealt with vegetrian. I felt Amazon was trying to get me interested in books as well as photography equipments.
I noticed too lately that even without signing in Amazon was throwing photography related items for me. It seems as if Amazon is making recommendation via my IP address. Overall I think Amazon is doing pretty good with their recommendations.
Out of 186 recommendations only one was something I didn't care about and that was a book on how to cook vegeterian.
Wednesday, February 13, 2008
AMAZON RECOMMENDER SYSTEM
This 5th week of class I made a purchase via my recommender system, AMAZON.COM.
Prior to making a purchase I had been selecting items to add to my wish list in hopes AMAZON will give me better recommendation as the semester progresses. My recent purchase was not a recommendation by Amazon. It was something I needed. I'm hoping after the purchase AMAZON will give me some good recommendation. I probably will not purchase another item for quite some time but will be interested in what AMAZON will recommend with future visits.
So far the recommendation has been about 40% correct on things I might be interested. The remaining is nothing close.
Prior to making a purchase I had been selecting items to add to my wish list in hopes AMAZON will give me better recommendation as the semester progresses. My recent purchase was not a recommendation by Amazon. It was something I needed. I'm hoping after the purchase AMAZON will give me some good recommendation. I probably will not purchase another item for quite some time but will be interested in what AMAZON will recommend with future visits.
So far the recommendation has been about 40% correct on things I might be interested. The remaining is nothing close.
Sunday, February 10, 2008
AMAZON RECOMMENDER
I continue to utilize Amazon's recommender system. After rating several items I decided to dump two items into my wishlists in hopes the recommender system will give me better recommendation. Both items were digital cameras, one of which I owned and the other I didn't. I realized the two items were not enough for Amazon to give me good recommendation. After the wish list entry I was given recommendation that was in the range but nothing I would want.
Saturday, February 2, 2008
AMAZON RECOMMENDER SYSTEM visit #5
Was interested in buying a SPEED LIGHT FLASH for camera so logged on to Amazon and rated 45 items by entering Speed Light 600 as primary search. After the 45 ratings there were about 3 items that I had owned and I gave it a high rating for all items. Next Amazon threw out their recommendation and it was items I was interested but didn't want to buy. It was good photography related items.
Friday, February 1, 2008
WEEK 3 (Researchers reverse Netflix anonymization )
http://www.securityfocus.com/news/11497/1
Seems like the Netflix contest to improve Cinematch by 10% has it's issues similar to what AOL released awhile back. Full detail to come.
Seems like the Netflix contest to improve Cinematch by 10% has it's issues similar to what AOL released awhile back. Full detail to come.
Thursday, January 31, 2008
AMAZON RECOMMENDER SYSTEM visit #4
I next view and rated a tomtom GPS and some accessories. After rating the recommendation was made but nothing I was interested in.
AMAZON RECOMMENDER SYSTEM visit #3
I next was asked to rate another item and I decided to rate SD CARD. Again, another 45 items were asked to be rated on scale of 1-5 and if I owned the item. After the rating Amazon recommended 15 items for me none which I was interested in.
AMAZON RECOMMENDER SYSTEM visit #2
My second recommendation or second interaction with Amazon proved a closer recommendation to my first item which I rank and owned. It was a lens cap for my camera lens.
2nd interaction with Amazon I was asked to enter another item and then a list would be provided for me to rank. I typed in Nikon d80 and rated 5 star for the camera. There were 44 other items which I didn't have. After this Amazon made a recommendation with a battery grip as the first item which I would have been interested had I not already own it.
2nd interaction with Amazon I was asked to enter another item and then a list would be provided for me to rank. I typed in Nikon d80 and rated 5 star for the camera. There were 44 other items which I didn't have. After this Amazon made a recommendation with a battery grip as the first item which I would have been interested had I not already own it.
Friday, January 25, 2008
The Netflix Prize Rules
http://www.netflixprize.com//rules
News article about Netflix running a contest to improve Cinematch, a recommender system to predict whether someone will enjoy a movie based on how much they liked or disliked other movies.
To get price of $1M Cinematch must be improved by 10%. Contest open to individual or teams.
Contest runs October 2006-2011. So far AT&T improved it by 8.5% and got $50K for its efforts of 2000 hours.
News article about Netflix running a contest to improve Cinematch, a recommender system to predict whether someone will enjoy a movie based on how much they liked or disliked other movies.
To get price of $1M Cinematch must be improved by 10%. Contest open to individual or teams.
Contest runs October 2006-2011. So far AT&T improved it by 8.5% and got $50K for its efforts of 2000 hours.
Wednesday, January 16, 2008
SkiMatcher Solution Recommender System
http://web.engr.oregonstate.edu/~herlock/rsw2001/final/whos_who_attendees/2_ski.pdf
Ski-Europe.com utilizes SKI Matcher, recommender system to help match customers to their destination due to too much time spent by staff trying to manually match a person's destination before booking a destination.
Ski-Europe.com utilizes SKI Matcher, recommender system to help match customers to their destination due to too much time spent by staff trying to manually match a person's destination before booking a destination.
AMAZON RECOMMENDER SYSTEM
I started with Google as a recommender system but changed to Amazon recommender system as my system for the semester. To begin I had to first register for an account. Since Amazon didn't know about me it just threw out some odd recommendation at first. To personalized I had to answer some questions. I was asked to search for something then had to rate it. I searched for camera lens and the ratings was to see if i owned a certain lens or not and then rank it. I had about 45 items most which I didn't own or didn't rate so at the end Amazon didn't have a recommendation for me.
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