Posted by Arnaud Fischer, at 04:07AM 06/11/08 :
The 3X Local Search momentum
Note:
The local search marketplace continues to grow rapidly, at a faster pace than general search. Local Search - more than 1.5 billion queries per month, second most popular activity after email - is at the cross road of several trends in hyper growth mode.
1. A larger portion of local SMB offline spending is shifting online.
2. Local search still represents less than 10% of search advertising and could double over the next 5 years with spending projected to grow from $8 billion in ‘07 to nearly $20 billion in ’11.
3. Lead generation spending is expected to reach $3.6 billion in ‘11
tags: no tags
groups: in Search Engine News, search engines
Posted by Arnaud Fischer, at 06:49PM 11/18/07 and by 1 others:
Sentiment analysis and consumer generated content
Note:
Sentiment Analysis draws on computational linguistic, information retrieval, data mining, natural language processing, machine learning, statistics and predictive analysis to transform unstructured online dialog into marketing insights about companies, products and issues. Web 2.0 was about collective intelligence; Web 3.0 is about connecting knowledge, making the proliferation of user generated content one of the main drivers behind the emergence of the Sentiment Analysis discipline. Sentiment analysis is on the verge to making eCommerce and Online Advertising a whole lot more efficient.
tags: ecommerce
· user generated content
· online advertising
· sentiment analysis
· consumer generated media
groups: in web 2.0
Posted by Arnaud Fischer, at 04:54PM 07/11/07 :
Digital influencers will grow to 34.4 million in 2011 - eMarketer
Note:
Many Computational Linguistic departments across the country are busy developing a broad range of Semantic-based algorithms these days. Browsers came from the academic world, so did a lot of search technology, why not sentiment extraction.
Advertisers traditionally follow consumers. eMarketer just released a study mentioning that already 66 million adults regularly share advice about products and services with others, and 27 million are exerting that influence online.
tags: sentimetrix
· consumer generated content
· sentiment analysis
groups: no groups
Posted by Arnaud Fischer, at 08:25AM 07/10/07 :
Why I left AOL Search
Note:
I started at AOL Search almost 3 years ago, hoping to be part of the turn around story, taking AOL to the Web and integrating search consequently. ... I was also thinking no one would single-handedly hold responsible if AOL missed a step.
I spent most of the past decade planning and building search experiences from developing the first SafeSearch application in 1994 with InterGO to crawling and parsing applications with Microsoft in 1996, then Altavista, Infospace and AOL.
tags: sentiment analysis
· aol search
· semantic search technology
· social search
· arnaud fischer
groups: in Social Search, web 2.0
Posted by Arnaud Fischer, at 04:59PM 05/06/07 and by 1 others:
Google in 3 years
Note:
Steve Newcomb - Powerset - posted an interesting question on LinkedIn's Q&A service:
What are your predictions for Google over the next 3 years. How will people perceive Google? How will their search engine look? Where will Google's stock be in 3 years? what are your top 10 predictions.
The answers are pretty interesting ...
tags: google
· powerset
· steve newcomb
groups: in Search Engine News, web 2.0, search engines
Posted by Arnaud Fischer, at 12:17PM 04/22/07 and by 1 others:
TrailFire social search buzz, user engagement and network effect.
Note:
Social search engines are working hard at developing a dialog with their user-base requesting feedback and encouraging engagement. Most are building search on the premise that people can add a whole lot more incremental value on top of traditional keyword matching algorithmic engines. Adoption and ramping up usage is one of social search engines’ critical success factors to build scale, reach critical mass and generate that network effect to effectively surface that “people & community” value layer, although not everybody needs to be tagging, commenting, sharing, bookmarking for social search to be effective. TrailFire’s approach is pretty good. Discover what you are looking for on the Web using like-minded people’s trails. Trails can be private or public, shared via email, by posting them on any website or by publishing them on Trailfire.com. Following is TrailFire’s latest announcement from CEO John O’Halloran.
tags: discovery engine
· trailfire
groups: in Social Search Buzz, Startups, Social Search, web 2.0
Posted by Arnaud Fischer, at 02:35PM 04/03/07 and by 1 others:
The Social Search Inflection Point
Note:
Search has changed. Online consumer information retrieval has reached another inflexion point – a shift from pure algorithmic search to social search. Searchers have become increasingly sophisticated, and basic algorithmic web results are getting diluted out of most mainstream search experiences such as Google, Yahoo, Microsoft, AOL and Ask. Search is not solved. At their most sophisticated, users are still too often at a loss when executing a search. According to Jupiter, 41.2 percent of users report that general search results are often not directly relevant to queries, and 18 percent leave a search engine without having found the information they were seeking.
tags: social search
· search engine land
groups: in Social Search Buzz, Social Search
Posted by Arnaud Fischer, at 12:02PM 04/03/07 :
The Impending Social Search Inflection Point
Note:
Search has changed. Online consumer information retrieval has reached another inflexion point a shift from pure algorithmic search to social search. Searchers have become increasingly sophisticated, and basic algorithmic web results are getting diluted out of most mainstream search experiences such as Google, Yahoo, Microsoft, AOL and Ask. Search is not solved. At their most sophisticated, users are still too often at a loss when executing a search. According to Jupiter, 41.2 percent of users report that general search results are often not directly relevant to queries, and 18 percent leave a search engine without having found the information they were seeking.
First, there was basic algorithmic search (such as AltaVista), and then came very predictable paid search business models to fuel innovation. The industry is now maneuvering through its third era: social search. Humans are still better at some things. Relevance remains number one. Throughout the past decade, a search engine's most critical success factors relevance, comprehensiveness, performance, freshness, and ease of use have remained fairly stable. Relevance is more subjective than ever and must take into consideration the holistic search experience one user at a time. Inferring each users intent from a mere 2.1 search terms remains at the core of the relevance challenge
tags: search
· search engine
· internet
· social search
· search engine land
and 1 more.
groups: in Social Search, web 2.0
Posted by Arnaud Fischer, at 02:04PM 03/26/07 :
Lijit redesign - Who's Being Searched Right Now?
Note:
Lijit redesign - Who's Being Searched Right Now?
Lijit redesigned their home page in the past days, giving it a “more open, roomy, and serene feeling”, “all the same functionality without the clutter”, according to the Lijit blog. You can still check out the old lijit home page from the Google cache and the new one as of this morning.
tags: social search
· lijit
groups: in Social Search, web 2.0
Posted by Arnaud Fischer, at 09:58AM 02/25/07 :
Internet buzz and The Oscars
Note:
The oscars and nominated directors, actresses, actors and everybody else generate quiet a bit of buzz online. What about each of The Oscars' nominated Best Pictures? Can Internet Sentiment Analysis predict the winners? Although just emerging, the explosion of consumer generated media makes online buzz monitoring an increasingly viable tool to take the pulse of attitudes in social media towards pretty much anything, brands, products, ideas, people and more. Internet sentiment analysis draws on information retrieval, data mining, machine learning, statistics, and computational linguistics to transform unstructured online dialog (blogs, chats, boards, ...) into marketing and social media insights. Search is the Internet OS!
tags: the oscars
· sentiment analysis
· oscars
· best picture
· social media
and 1 more.
groups: no groups