Thesis about friendster

From us to you: Dave Segoh as the lecturer.

Thesis about friendster

Features[ edit ] Foursquare 8. Local search and recommendations[ edit ] Foursquare lets the user search for restaurants, nightlife spots, shops and other places of interest in their surrounding area.

It is also possible to search other areas by entering the name of a remote location. The app displays personalised recommendations based on the time of day, displaying breakfast places in the morning, dinner places in the evening etc.

Thesis about friendster

Recommendations are personalised based on factors that include a users check-in history, their "Tastes" and their venue ratings and according to their friends reviews. Tips and expertise[ edit ] Foursquare eschews the traditional concept of letting users leave long-form reviews, and instead encourages the writing of "Tips" - short messages about a location which let other users know what is good or bad there.

Identity theories and social media

Tips are limited to characters in length, but can include a URL to link to an external site with more information, and can include a photo. Tips can be set to expire after a certain amount of time, or on a specific date, which can be useful for leaving Tips about events or promotions at a venue that will end soon.

Users can 'Like' tips left by other users,making those tips more prominent. Users can also save tips left by other users onto their own to do listand can "follow" any other user or brand to increase the prominence of that user's tips. As a reward for leaving quality tips, a user can earn "expertise" in a particular location e.

Expertise is awarded based on the number and quality of tips a user writes, quality being measured based on the number of views, saves and "likes" it receives from other users. When a user earns expertise, their tips are made more prominent and a label indicating their expertise is added beneath relevant tips.

Tastes[ edit ] "Tastes" let a user personalise their search experience Foursquare has a defined list of "tastes" in particular food items, styles of cuisine or environmental aspects, which users may add to their profiles.

New users are presented with a list, and may select the ones that appeal to them. They can change these at any time, and add and remove items from their profile. The app uses natural language processing to match a user's tastes with the tips at nearby venues that mention them.

Location detection[ edit ] Foursquare on wearable phone watch Foursquare 8.

Research on Social Network Sites

It displays information about the current venue, and includes a Check-in buttonfor the user check in with Swarm, before returning to Foursquare. The app uses the location service to track a user's location in the background.

It uses this ability to learn about the kinds of places a user likes, based on when and how often they visit different venues. It then uses this to improve a user's recommendations, and to gauge the popularity of a venue.

Ratings[ edit ] In addition to leaving Tips, Foursquare 8. The questions help Foursquare understand how people feel about a place, including such questions as whether or not a user likes it, how trendy it is, its cleanliness, how noisy it is.

It also uses these questions to fill out missing venue information such as asking whether the venue takes credit cards, or whether it has outdoor seating.Friendster Ayon kay Ronald S.

hindi nila masayadong natatag ang nang mabuti ang komersyong ito kaya hindi rin ito nagtagal. Ito ay para sa mga magkaibigang mahilig makipagusap gamit ang iba. 2. Seven years ago, a student came to me and asked me to invest in his company. He said, "I'm working with three friends, and we're going to try to disrupt an industry by selling stuff online.".

Related Research on Web This is a list of Webcentric articles/books that use Social Network Sites as central to the discussion. Beer, David and Roger Burrows. Open Document.

Below is an essay on "Facebook vs. Friendster" from Anti Essays, your source for research papers, essays, and term paper examples. Maksymilian Rafailovych "Max" Levchin (Ukrainian: Максиміліан Рафаїлович Левчин; born July 11, ) is a Ukrainian-born American computer , soon after graduating from college, he co-founded (with Peter Thiel) the company that eventually became alphabetnyc.comn notably made contributions to PayPal's anti-fraud efforts and is also the co-creator of the.

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Max Levchin - Wikipedia